Supply Chain Consultant Jobs in Massachusetts
Supply Chain Consultant jobs in Massachusetts are in strong demand, concentrated in life sciences and biopharma, defense and aerospace, healthcare systems, and advanced manufacturing, with openings at every level from junior analyst through principal consultant. Boston, Cambridge, and Worcester are the primary hiring hubs, where established employers such as Raytheon Technologies, Biogen, and Accenture maintain significant consulting and operational footprints. The most sought-after specialties include procurement strategy, logistics network optimization, and inventory management for regulated industries. Find a role that fits below and apply directly.
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Showing 5 of 9+ Supply Chain Consultant jobs
Job description
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
As a Solution Senior Manager in Supply Chain Manufacturing Operations, you will lead the design, build, testing, and scaling of differentiated AI-enabled manufacturing solutions. You will combine deep manufacturing and supply chain domain knowledge with manufacturing data platforms, industrial data architectures, predictive and generative AI, knowledge graphs, retrieval-augmented generation (RAG), data ontologies, and reusable application components
This is a senior, hands-on solution leadership role. The primary purpose of the position is to set direction and lead teams that create working solutions, prototypes, accelerators, demonstrations, reference architectures, and reusable intellectual property that can be configured and deployed by pursuit and delivery teams.
You will lead and collaborate with manufacturing practitioners, Managers, data engineers, data scientists, AI engineers, software developers, architects, alliance teams, and solution leaders to turn priority manufacturing use cases into production-oriented solution assets. You will be accountable for solution strategy, technical credibility, quality and risk management, commercial relevance, talent development, repeatability, and adoption across the practice.
Your key responsibilities
As a Solution Senior Manager in Supply Chain Manufacturing Operations, you will be responsible for the strategy, portfolio direction, and end-to-end development of AI-enabled manufacturing solutions and the reusable data and technology foundations required to scale them across pursuits and engagements.
- Set the vision, roadmap, investment priorities, and quality standards for a portfolio of AI-enabled manufacturing solutions, prototypes, accelerators, demonstrations, and reusable solution components.
- Lead Managers and multidisciplinary teams through concept definition, architecture, build, testing, release, adoption, and continuous improvement while remaining sufficiently hands-on to challenge technical decisions and resolve critical issues.
- Translate manufacturing and supply chain priorities into compelling AI use cases, value hypotheses, user stories, functional and technical requirements, data and model requirements, acceptance criteria, and measurable operational outcomes.
- Own solution governance, including architecture decisions, responsible AI, cybersecurity, data privacy, quality, risk, release readiness, documentation, and compliance with firm development standards.
- Direct the design of manufacturing data platforms that connect and contextualize data from MES/MOM, ERP, historians, SCADA, PLC, IoT, quality, maintenance, laboratory, warehouse, engineering, document, image, and enterprise systems.
- Guide the development of reusable manufacturing data models, ontologies, semantic layers, taxonomies, metadata, entity relationships, knowledge graphs, and governance standards spanning assets, products, materials, production, quality, maintenance, inventory, energy, labor, and performance.
- Lead the design and industrialization of RAG and GraphRAG solutions using governed manufacturing content, operational data, embeddings, vector search, knowledge graphs, metadata filtering, evaluation methods, guardrails, and human oversight.
- Shape AI assistants, copilots, agents, predictive models, and intelligent workflows for use cases such as predictive maintenance, anomaly detection, root-cause analysis, quality investigation, production optimization, shift handover, troubleshooting, energy optimization, and operational decision support.
- Lead the configuration and extension of SymphonyAI industrial capabilities and comparable industrial data and AI platforms, including data foundations, unified namespace patterns, knowledge graphs, industrial AI models, copilots, agent workflows, and low-code or no-code applications.
- Oversee integrations and reusable connectors using APIs, event streams, industrial protocols, data pipelines, orchestration tools, and common IT/OT integration patterns.
- Establish engineering standards for reusable code, source control, configuration management, model versioning, data quality, testing, DevOps, DataOps, MLOps, LLMOps, security, release management, and solution documentation.
- Own solution backlogs and product roadmaps; prioritize features, define releases, manage technical dependencies, allocate resources, and coordinate contributors through agile development cycles.
- Partner with senior practice, account, pursuit, alliance, and delivery leaders to identify market needs, shape differentiated offerings, estimate effort and investment, support proposals and demonstrations, and enable successful adoption.
- Support technical sales and business development by leading solution discovery and technical qualification, shaping architectures and implementation approaches, developing compelling demonstrations and proofs of concept, contributing to proposals, statements of work, estimates, pricing inputs, and oral presentations, and articulating the differentiated value, feasibility, scalability, and risk profile of proposed manufacturing solutions to client and internal stakeholders.
- Contribute to revenue generation by identifying opportunities, shaping the solution and value proposition, supporting proposal development and pricing, and building trusted relationships with internal and selective client stakeholders.
- Manage solution-development budgets, staffing, milestones, risks, dependencies, and investment decisions; communicate progress, outcomes, and escalation needs to senior stakeholders.
- Package solutions for reuse through reference implementations, technical documentation, configuration guides, architecture diagrams, data-model specifications, test assets, deployment guidance, and enablement materials.
- Serve as a senior solution expert for pursuits and delivery teams while remaining primarily accountable for internal solution engineering rather than ongoing engagement delivery.
- Lead, coach, and develop Managers, engineers, analysts, and specialists; provide timely feedback, support career development, strengthen inclusive teaming, and build the next generation of manufacturing solution leaders.
Skills and attributes for success
To excel in this role, you will need a builder mindset, senior leadership presence, and the ability to move from an ambiguous manufacturing problem to a technically credible, commercially relevant, reusable solution while directing teams and influencing stakeholders.
- Deep manufacturing and supply chain credibility with the ability to connect operating model, process, data, technology, workforce, and business-value considerations.
- Senior-level solution-engineering leadership across manufacturing operations, industrial data, AI, applications, integration, cybersecurity, and deployment.
- Strong understanding of manufacturing data platforms, industrial DataOps, unified namespaces, data fabrics, data products, contextualization, semantic modeling, ontologies, knowledge graphs, and edge-to-cloud architectures.
- Practical experience directing RAG or GraphRAG solutions, including ingestion, chunking, embeddings, vector and graph retrieval, reranking, grounding, prompting, evaluation, observability, and responsible AI controls.
- Strong data-modeling and architecture skills across conceptual, logical, physical, semantic, time-series, event, graph, and application models, including alignment with ISA-95, ISA-88, asset hierarchies, and manufacturing process models.
- Ability to evaluate predictive, prescriptive, generative, and agentic AI opportunities for feasibility, value, data readiness, workflow fit, adoption, scalability, and risk.
- Working knowledge of MES/MOM, historians, SCADA, PLC, CMMS/EAM, LIMS, QMS, ERP, warehouse, planning, engineering, connected-worker, cloud, database, streaming, API, and industrial protocol technologies.
- Strong product-management and agile-development capability, including portfolio strategy, roadmap and backlog management, investment prioritization, feature definition, release planning, and iterative prototyping.
- Demonstrated ability to lead Managers and multidisciplinary teams, manage competing priorities, and maintain high standards for technical quality, usability, security, risk, and manufacturing outcomes.
- Executive communication, structured problem-solving, systems thinking, facilitation, negotiation, and the ability to influence senior business and technical stakeholders.
- Commercial awareness and experience supporting business development, proposals, estimates, staffing models, financial planning, alliance relationships, and solution investment decisions.
- Ability to assess solution quality through architecture reviews, functional testing, model and retrieval evaluation, performance and security review, and user validation.
- Commitment to coaching, inclusive leadership, talent development, knowledge sharing, and building high-performing teams.
To qualify for the role, you must have
- A bachelor’s degree in engineering, computer science, data science, information systems, manufacturing, supply chain, operations, or a related discipline.
- No less than 5–7 years of relevant experience spanning AI solution development, industrial data platforms, digital manufacturing, manufacturing technology, supply chain consulting, data engineering, software development, or a related field.
- Demonstrated experience building working AI, data, analytics, or software solutions rather than solely defining strategies, managing programs, or delivering advisory services.
- Experience developing manufacturing data platforms, industrial data pipelines, common data models, semantic layers, ontologies, or knowledge graphs.
- Experience designing or implementing RAG-based applications, AI copilots, intelligent search, conversational interfaces, or agentic workflows.
- Experience with data modeling across operational, manufacturing, engineering, maintenance, quality, or supply chain domains.
- Experience taking manufacturing use cases from problem definition through architecture, build, configuration, testing, demonstration, and reusable solution packaging.
- Experience integrating data from manufacturing and enterprise systems, including structured, unstructured, time-series, event, image, and document sources.
- Experience using programming, scripting, low-code, no-code, data-engineering, AI-development, or application-development tools to produce working solutions.
- Experience creating technical documentation, reference architectures, data-model specifications, test plans, demonstrations, and deployment guidance.
- Demonstrated experience leading Managers and multidisciplinary technical teams through iterative solution-development cycles, including work planning, delegation, review, feedback, performance management, and capability building.
- Experience influencing senior stakeholders, supporting pursuits and commercial decisions, managing solution-development risks and investments, and operating effectively in a primarily internal solution-building role with selective client interaction.
- Ability to travel up to 50%
Ideally, you’ll also have
- Hands-on experience with SymphonyAI Industrial, IRIS Foundry, IRIS Forge, IRIS Flows, industrial copilots, industrial knowledge graphs, or related SymphonyAI capabilities.
- Experience with comparable industrial data and AI platforms such as Cognite Data Fusion, Palantir Foundry, Databricks, Microsoft Fabric and Azure AI, AWS industrial and AI services, Google Cloud data and AI services, Snowflake, AVEVA, AspenTech, Siemens, PTC, or similar platforms.
- Experience configuring unified namespaces, asset hierarchies, industrial knowledge graphs, governed data catalogs, low-code applications, AI agents, and persona-based copilots.
- Experience with graph technologies such as Neo4j, RDF, OWL, SPARQL, property graphs, ontology-management tools, or graph-based retrieval.
- Experience with vector databases, embedding models, LLM frameworks, agent frameworks, model gateways, prompt-management tools, and AI evaluation platforms.
- Experience building manufacturing AI use cases in predictive maintenance, asset performance, process optimization, quality, vision inspection, production intelligence, connected worker, energy, scheduling, or supply chain.
- Knowledge of industrial and manufacturing standards such as ISA-95, ISA-88, OPC UA, MQTT, Sparkplug, IEC 62264, CFIHOS, or related reference models.
- Experience with Python, SQL, APIs, JSON, graph query languages, data pipelines, stream processing, cloud services, containers, or application-development frameworks.
- Experience applying responsible AI, cybersecurity, access control, data privacy, model governance, content traceability, and human-approval patterns in industrial environments.
- Experience with product management, agile development, design thinking, user-centered design, or solution incubation.
- Relevant cloud, AI, data, graph, manufacturing, or platform certifications.
What we look for
We are looking for a Senior Manager who combines manufacturing credibility, technical depth, product and portfolio leadership, commercial judgment, and strong people leadership. The successful candidate will be curious, structured, technically capable, and able to turn manufacturing knowledge and emerging technology into differentiated, reusable solutions while setting direction and developing others.
This individual should enjoy building, configuring, testing, and improving solutions while also leading Managers and multidisciplinary teams, governing quality and risk, managing investments and priorities, supporting business development, and building trusted relationships across the practice. The role will interact selectively with senior internal stakeholders, alliance partners, pursuit teams, delivery teams, and clients to gather requirements, shape opportunities, and transfer knowledge, but it is not intended to serve as a full-time client-delivery leader. The core accountability is to lead the creation and adoption of differentiated AI-enabled manufacturing solutions that EY teams can sell, deploy, and scale.
What we offer you
At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
- The salary range for this job is:
- New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $180,500 to $374,800
- Bay Area California offices – $188,100 to $390,500
- All other offices locations in the US, including Sacramento – $150,400 to $343,600
- Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Are you ready to shape your future with confidence? Apply today.
- To make the most of your application experience, please limit yourself to two applications within a six-month period.
- EY accepts applications for this position on an on-going basis.
- For those living in California, please click here for additional information.
- At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
All in to shape the future with confidence.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
Job description
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
As a Solution Senior Manager in Supply Chain Manufacturing Operations, you will lead the design, build, testing, and scaling of differentiated AI-enabled manufacturing solutions. You will combine deep manufacturing and supply chain domain knowledge with manufacturing data platforms, industrial data architectures, predictive and generative AI, knowledge graphs, retrieval-augmented generation (RAG), data ontologies, and reusable application components
This is a senior, hands-on solution leadership role. The primary purpose of the position is to set direction and lead teams that create working solutions, prototypes, accelerators, demonstrations, reference architectures, and reusable intellectual property that can be configured and deployed by pursuit and delivery teams.
You will lead and collaborate with manufacturing practitioners, Managers, data engineers, data scientists, AI engineers, software developers, architects, alliance teams, and solution leaders to turn priority manufacturing use cases into production-oriented solution assets. You will be accountable for solution strategy, technical credibility, quality and risk management, commercial relevance, talent development, repeatability, and adoption across the practice.
Your key responsibilities
As a Solution Senior Manager in Supply Chain Manufacturing Operations, you will be responsible for the strategy, portfolio direction, and end-to-end development of AI-enabled manufacturing solutions and the reusable data and technology foundations required to scale them across pursuits and engagements.
- Set the vision, roadmap, investment priorities, and quality standards for a portfolio of AI-enabled manufacturing solutions, prototypes, accelerators, demonstrations, and reusable solution components.
- Lead Managers and multidisciplinary teams through concept definition, architecture, build, testing, release, adoption, and continuous improvement while remaining sufficiently hands-on to challenge technical decisions and resolve critical issues.
- Translate manufacturing and supply chain priorities into compelling AI use cases, value hypotheses, user stories, functional and technical requirements, data and model requirements, acceptance criteria, and measurable operational outcomes.
- Own solution governance, including architecture decisions, responsible AI, cybersecurity, data privacy, quality, risk, release readiness, documentation, and compliance with firm development standards.
- Direct the design of manufacturing data platforms that connect and contextualize data from MES/MOM, ERP, historians, SCADA, PLC, IoT, quality, maintenance, laboratory, warehouse, engineering, document, image, and enterprise systems.
- Guide the development of reusable manufacturing data models, ontologies, semantic layers, taxonomies, metadata, entity relationships, knowledge graphs, and governance standards spanning assets, products, materials, production, quality, maintenance, inventory, energy, labor, and performance.
- Lead the design and industrialization of RAG and GraphRAG solutions using governed manufacturing content, operational data, embeddings, vector search, knowledge graphs, metadata filtering, evaluation methods, guardrails, and human oversight.
- Shape AI assistants, copilots, agents, predictive models, and intelligent workflows for use cases such as predictive maintenance, anomaly detection, root-cause analysis, quality investigation, production optimization, shift handover, troubleshooting, energy optimization, and operational decision support.
- Lead the configuration and extension of SymphonyAI industrial capabilities and comparable industrial data and AI platforms, including data foundations, unified namespace patterns, knowledge graphs, industrial AI models, copilots, agent workflows, and low-code or no-code applications.
- Oversee integrations and reusable connectors using APIs, event streams, industrial protocols, data pipelines, orchestration tools, and common IT/OT integration patterns.
- Establish engineering standards for reusable code, source control, configuration management, model versioning, data quality, testing, DevOps, DataOps, MLOps, LLMOps, security, release management, and solution documentation.
- Own solution backlogs and product roadmaps; prioritize features, define releases, manage technical dependencies, allocate resources, and coordinate contributors through agile development cycles.
- Partner with senior practice, account, pursuit, alliance, and delivery leaders to identify market needs, shape differentiated offerings, estimate effort and investment, support proposals and demonstrations, and enable successful adoption.
- Support technical sales and business development by leading solution discovery and technical qualification, shaping architectures and implementation approaches, developing compelling demonstrations and proofs of concept, contributing to proposals, statements of work, estimates, pricing inputs, and oral presentations, and articulating the differentiated value, feasibility, scalability, and risk profile of proposed manufacturing solutions to client and internal stakeholders.
- Contribute to revenue generation by identifying opportunities, shaping the solution and value proposition, supporting proposal development and pricing, and building trusted relationships with internal and selective client stakeholders.
- Manage solution-development budgets, staffing, milestones, risks, dependencies, and investment decisions; communicate progress, outcomes, and escalation needs to senior stakeholders.
- Package solutions for reuse through reference implementations, technical documentation, configuration guides, architecture diagrams, data-model specifications, test assets, deployment guidance, and enablement materials.
- Serve as a senior solution expert for pursuits and delivery teams while remaining primarily accountable for internal solution engineering rather than ongoing engagement delivery.
- Lead, coach, and develop Managers, engineers, analysts, and specialists; provide timely feedback, support career development, strengthen inclusive teaming, and build the next generation of manufacturing solution leaders.
Skills and attributes for success
To excel in this role, you will need a builder mindset, senior leadership presence, and the ability to move from an ambiguous manufacturing problem to a technically credible, commercially relevant, reusable solution while directing teams and influencing stakeholders.
- Deep manufacturing and supply chain credibility with the ability to connect operating model, process, data, technology, workforce, and business-value considerations.
- Senior-level solution-engineering leadership across manufacturing operations, industrial data, AI, applications, integration, cybersecurity, and deployment.
- Strong understanding of manufacturing data platforms, industrial DataOps, unified namespaces, data fabrics, data products, contextualization, semantic modeling, ontologies, knowledge graphs, and edge-to-cloud architectures.
- Practical experience directing RAG or GraphRAG solutions, including ingestion, chunking, embeddings, vector and graph retrieval, reranking, grounding, prompting, evaluation, observability, and responsible AI controls.
- Strong data-modeling and architecture skills across conceptual, logical, physical, semantic, time-series, event, graph, and application models, including alignment with ISA-95, ISA-88, asset hierarchies, and manufacturing process models.
- Ability to evaluate predictive, prescriptive, generative, and agentic AI opportunities for feasibility, value, data readiness, workflow fit, adoption, scalability, and risk.
- Working knowledge of MES/MOM, historians, SCADA, PLC, CMMS/EAM, LIMS, QMS, ERP, warehouse, planning, engineering, connected-worker, cloud, database, streaming, API, and industrial protocol technologies.
- Strong product-management and agile-development capability, including portfolio strategy, roadmap and backlog management, investment prioritization, feature definition, release planning, and iterative prototyping.
- Demonstrated ability to lead Managers and multidisciplinary teams, manage competing priorities, and maintain high standards for technical quality, usability, security, risk, and manufacturing outcomes.
- Executive communication, structured problem-solving, systems thinking, facilitation, negotiation, and the ability to influence senior business and technical stakeholders.
- Commercial awareness and experience supporting business development, proposals, estimates, staffing models, financial planning, alliance relationships, and solution investment decisions.
- Ability to assess solution quality through architecture reviews, functional testing, model and retrieval evaluation, performance and security review, and user validation.
- Commitment to coaching, inclusive leadership, talent development, knowledge sharing, and building high-performing teams.
To qualify for the role, you must have
- A bachelor’s degree in engineering, computer science, data science, information systems, manufacturing, supply chain, operations, or a related discipline.
- No less than 5–7 years of relevant experience spanning AI solution development, industrial data platforms, digital manufacturing, manufacturing technology, supply chain consulting, data engineering, software development, or a related field.
- Demonstrated experience building working AI, data, analytics, or software solutions rather than solely defining strategies, managing programs, or delivering advisory services.
- Experience developing manufacturing data platforms, industrial data pipelines, common data models, semantic layers, ontologies, or knowledge graphs.
- Experience designing or implementing RAG-based applications, AI copilots, intelligent search, conversational interfaces, or agentic workflows.
- Experience with data modeling across operational, manufacturing, engineering, maintenance, quality, or supply chain domains.
- Experience taking manufacturing use cases from problem definition through architecture, build, configuration, testing, demonstration, and reusable solution packaging.
- Experience integrating data from manufacturing and enterprise systems, including structured, unstructured, time-series, event, image, and document sources.
- Experience using programming, scripting, low-code, no-code, data-engineering, AI-development, or application-development tools to produce working solutions.
- Experience creating technical documentation, reference architectures, data-model specifications, test plans, demonstrations, and deployment guidance.
- Demonstrated experience leading Managers and multidisciplinary technical teams through iterative solution-development cycles, including work planning, delegation, review, feedback, performance management, and capability building.
- Experience influencing senior stakeholders, supporting pursuits and commercial decisions, managing solution-development risks and investments, and operating effectively in a primarily internal solution-building role with selective client interaction.
- Ability to travel up to 50%
Ideally, you’ll also have
- Hands-on experience with SymphonyAI Industrial, IRIS Foundry, IRIS Forge, IRIS Flows, industrial copilots, industrial knowledge graphs, or related SymphonyAI capabilities.
- Experience with comparable industrial data and AI platforms such as Cognite Data Fusion, Palantir Foundry, Databricks, Microsoft Fabric and Azure AI, AWS industrial and AI services, Google Cloud data and AI services, Snowflake, AVEVA, AspenTech, Siemens, PTC, or similar platforms.
- Experience configuring unified namespaces, asset hierarchies, industrial knowledge graphs, governed data catalogs, low-code applications, AI agents, and persona-based copilots.
- Experience with graph technologies such as Neo4j, RDF, OWL, SPARQL, property graphs, ontology-management tools, or graph-based retrieval.
- Experience with vector databases, embedding models, LLM frameworks, agent frameworks, model gateways, prompt-management tools, and AI evaluation platforms.
- Experience building manufacturing AI use cases in predictive maintenance, asset performance, process optimization, quality, vision inspection, production intelligence, connected worker, energy, scheduling, or supply chain.
- Knowledge of industrial and manufacturing standards such as ISA-95, ISA-88, OPC UA, MQTT, Sparkplug, IEC 62264, CFIHOS, or related reference models.
- Experience with Python, SQL, APIs, JSON, graph query languages, data pipelines, stream processing, cloud services, containers, or application-development frameworks.
- Experience applying responsible AI, cybersecurity, access control, data privacy, model governance, content traceability, and human-approval patterns in industrial environments.
- Experience with product management, agile development, design thinking, user-centered design, or solution incubation.
- Relevant cloud, AI, data, graph, manufacturing, or platform certifications.
What we look for
We are looking for a Senior Manager who combines manufacturing credibility, technical depth, product and portfolio leadership, commercial judgment, and strong people leadership. The successful candidate will be curious, structured, technically capable, and able to turn manufacturing knowledge and emerging technology into differentiated, reusable solutions while setting direction and developing others.
This individual should enjoy building, configuring, testing, and improving solutions while also leading Managers and multidisciplinary teams, governing quality and risk, managing investments and priorities, supporting business development, and building trusted relationships across the practice. The role will interact selectively with senior internal stakeholders, alliance partners, pursuit teams, delivery teams, and clients to gather requirements, shape opportunities, and transfer knowledge, but it is not intended to serve as a full-time client-delivery leader. The core accountability is to lead the creation and adoption of differentiated AI-enabled manufacturing solutions that EY teams can sell, deploy, and scale.
What we offer you
At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
- The salary range for this job is:
- New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $180,500 to $374,800
- Bay Area California offices – $188,100 to $390,500
- All other offices locations in the US, including Sacramento – $150,400 to $343,600
- Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Are you ready to shape your future with confidence? Apply today.
- To make the most of your application experience, please limit yourself to two applications within a six-month period.
- EY accepts applications for this position on an on-going basis.
- For those living in California, please click here for additional information.
- At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
All in to shape the future with confidence.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
See All 9 Supply Chain Consultant Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Supply Chain Consultant JobsSupply Chain Consultant Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Supply Chain Consultant Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
What Massachusetts Employers Look For
The qualifications that appear most often in supply chain consultant jobs across Massachusetts.
- Bachelor's degree in supply chain management, operations, business, or a related field
- Professional certification such as APICS CSCP, CPIM, or ISM CPSM preferred by most employers
- Three or more years of supply chain, operations, or logistics consulting experience
- Demonstrated experience with ERP platforms such as SAP, Oracle, or Microsoft Dynamics
- Strong analytical skills including proficiency in Excel, Power BI, or supply chain modeling tools
- Experience in a regulated Massachusetts industry such as life sciences, defense, or healthcare
Supply Chain Consultant Jobs in Massachusetts: Frequently Asked Questions
How do you become a supply chain consultant in Massachusetts?
Start with a bachelor's degree in supply chain management, business, operations, or engineering, as Massachusetts employers, particularly those in life sciences and defense, consistently expect this foundation. Supply chain consulting has no state-issued license in Massachusetts, so credentials like the APICS CSCP or CPIM carry significant weight in lieu of licensure. Building experience in a regulated industry, such as biopharma or aerospace, is the clearest path to competitive standing with Massachusetts firms.
How much do supply chain consultants make in Massachusetts?
Supply chain consultants in Massachusetts earn a median of about $134,720 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,490 for the lowest 10% to over $216,940 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire supply chain consultants in Massachusetts?
Employers hiring supply chain consultants in Massachusetts right now include Logic, EY, and RSM, based on current listings on Migrate Mate as of September 2026. Massachusetts's concentration of life sciences headquarters, defense contractors, and global consulting firms creates consistent demand for consultants who understand regulated and complex supply chains.
Which Massachusetts cities have the most supply chain consultant jobs?
Boston and Tewksbury account for the largest share of supply chain consultant openings in Massachusetts. Boston and Cambridge drive demand through their dense clusters of biopharma headquarters, research hospitals, and consulting firm offices, while Worcester draws hiring from its manufacturing base and regional distribution operations that require dedicated supply chain expertise.
Are there remote supply chain consultant jobs in Massachusetts?
Yes, and more than many comparable roles, since supply chain consulting often centers on data analysis, strategy development, and stakeholder presentations that translate well to remote settings. About 50% of supply chain consultant openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting the analytical and advisory nature of the work. Roles requiring site audits, warehouse assessments, or hands-on process mapping at client facilities are the most likely to require in-person presence.
How can I get hired as a supply chain consultant in Massachusetts with little or no experience?
The most realistic entry path is targeting operations analyst, procurement coordinator, or logistics associate roles at large Massachusetts employers in life sciences or defense, where rotational programs and structured development tracks exist for early-career hires. Companies like Raytheon Technologies and major Boston-area hospital networks regularly onboard junior operations staff who move into consulting-adjacent work over time. Earning an entry-level APICS CPIM certification and building Excel and ERP fluency before applying gives candidates a clear, credible edge even without direct consulting experience.
Where can I find and apply to supply chain consultant jobs in Massachusetts?
You can find and apply to supply chain consultant jobs in Massachusetts on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the listings, find roles that match your experience and location, and apply directly to the ones that fit.
See All 9 Supply Chain Consultant Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Supply Chain Consultant Jobs