Digital Transformation Specialist Jobs
Digital Transformation Specialist jobs are open across financial services, healthcare, manufacturing, and retail, at levels from associate to director, with specializations in process automation, change management, and enterprise technology strategy. Find a role that fits below and apply directly.
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The Lead Digitalist, Manufacturing Digital Transformation is an individual contributor responsible for executing digital transformation initiatives across manufacturing operations through process digitization, Industry 4.0 technologies, smart factory initiatives, data-driven decision-making, and AI-powered operational excellence. The role works in close partnership with Manufacturing Operations, Engineering, Quality, Supply Chain, Information Technology, Data Engineering, and AI teams to identify operational improvement opportunities, design future-state digital capabilities, and support deployment and adoption of transformational technologies across manufacturing facilities.
The position combines manufacturing domain expertise, business process transformation capabilities, enterprise systems knowledge, data literacy, and AI enablement skills to advance traditional manufacturing operations toward connected, intelligent, and scalable operations — integrating Oracle ERP, manufacturing systems, quality, supply chain, engineering, data platforms, and AI into a unified operational foundation.
Manufacturing Transformation & Smart Factory - Analyze current-state manufacturing processes, conduct value stream mapping, design future-state operating models, identify bottlenecks, support process standardization across facilities, and contribute to Smart Factory and Industry 4.0 roadmaps and business cases.
Industry 4.0 & Digital Platform Enablement - Support design and implementation of the digital manufacturing ecosystem across Oracle EBS, MES, SCADA, PLC integration, Industrial IoT, edge computing, quality management systems, and workflow automation platforms. Contribute to real-time manufacturing visibility, digital work instructions, paperless manufacturing, predictive maintenance frameworks, and digital twin capabilities.
Data, Analytics & AI Enablement - Support manufacturing master data governance, equipment and production data standards, sensor data architecture, machine telemetry integration, product and process genealogy, and operational KPI frameworks. Implement predictive, generative, and agentic AI use cases in partnership with Data Engineering and AI teams.
Solution Design & Transformation Delivery - Facilitate business workshops, document functional requirements, develop process maps and user stories, define acceptance criteria, execute UAT, support go-live readiness and hypercare activities, and measure benefits realization in partnership with Product Owners.
Change Leadership & Workforce Enablement - Serve as the digital translator between operations and technology teams. Build relationships with plant personnel, support organizational change management, design intuitive operational workflows, and promote data-driven and continuous improvement practices.
Required Qualifications
- Bachelor's degree in Engineering, Information Systems, Operations, Supply Chain, Business, or a related field, or an equivalent combination of education and relevant experience.
- 5–12 years of experience in manufacturing operations, manufacturing systems, operational excellence, digital transformation, or Industry 4.0 initiatives, commensurate with level.
- Experience contributing to enterprise-scale transformation initiatives across multiple manufacturing facilities.
- Ability to work effectively across cross-functional teams and communicate with operational stakeholders.
- Hands-on experience with several of the following: Oracle EBS, MES platforms, SCADA systems, Industrial IoT, PLC integration, data lake house platforms, AI platforms.
- Working knowledge of manufacturing data models, data governance, master data management, predictive analytics, and manufacturing digital twins. Manufacturing Expertise: Lean Manufacturing, Six Sigma, production operations, quality systems, maintenance operations, production planning, manufacturing performance management, OEE improvement.
Preferred Qualifications : Medical device or FDA-regulated manufacturing experience; ISO 13485 environment experience; Industry 4.0 certifications; Lean Six Sigma Black Belt; industrial engineering background; smart factory implementation experience.
The Lead Digitalist, Manufacturing Digital Transformation is an individual contributor responsible for executing digital transformation initiatives across manufacturing operations through process digitization, Industry 4.0 technologies, smart factory initiatives, data-driven decision-making, and AI-powered operational excellence. The role works in close partnership with Manufacturing Operations, Engineering, Quality, Supply Chain, Information Technology, Data Engineering, and AI teams to identify operational improvement opportunities, design future-state digital capabilities, and support deployment and adoption of transformational technologies across manufacturing facilities.
The position combines manufacturing domain expertise, business process transformation capabilities, enterprise systems knowledge, data literacy, and AI enablement skills to advance traditional manufacturing operations toward connected, intelligent, and scalable operations — integrating Oracle ERP, manufacturing systems, quality, supply chain, engineering, data platforms, and AI into a unified operational foundation.
Manufacturing Transformation & Smart Factory - Analyze current-state manufacturing processes, conduct value stream mapping, design future-state operating models, identify bottlenecks, support process standardization across facilities, and contribute to Smart Factory and Industry 4.0 roadmaps and business cases.
Industry 4.0 & Digital Platform Enablement - Support design and implementation of the digital manufacturing ecosystem across Oracle EBS, MES, SCADA, PLC integration, Industrial IoT, edge computing, quality management systems, and workflow automation platforms. Contribute to real-time manufacturing visibility, digital work instructions, paperless manufacturing, predictive maintenance frameworks, and digital twin capabilities.
Data, Analytics & AI Enablement - Support manufacturing master data governance, equipment and production data standards, sensor data architecture, machine telemetry integration, product and process genealogy, and operational KPI frameworks. Implement predictive, generative, and agentic AI use cases in partnership with Data Engineering and AI teams.
Solution Design & Transformation Delivery - Facilitate business workshops, document functional requirements, develop process maps and user stories, define acceptance criteria, execute UAT, support go-live readiness and hypercare activities, and measure benefits realization in partnership with Product Owners.
Change Leadership & Workforce Enablement - Serve as the digital translator between operations and technology teams. Build relationships with plant personnel, support organizational change management, design intuitive operational workflows, and promote data-driven and continuous improvement practices.
Required Qualifications
- Bachelor's degree in Engineering, Information Systems, Operations, Supply Chain, Business, or a related field, or an equivalent combination of education and relevant experience.
- 5–12 years of experience in manufacturing operations, manufacturing systems, operational excellence, digital transformation, or Industry 4.0 initiatives, commensurate with level.
- Experience contributing to enterprise-scale transformation initiatives across multiple manufacturing facilities.
- Ability to work effectively across cross-functional teams and communicate with operational stakeholders.
- Hands-on experience with several of the following: Oracle EBS, MES platforms, SCADA systems, Industrial IoT, PLC integration, data lake house platforms, AI platforms.
- Working knowledge of manufacturing data models, data governance, master data management, predictive analytics, and manufacturing digital twins. Manufacturing Expertise: Lean Manufacturing, Six Sigma, production operations, quality systems, maintenance operations, production planning, manufacturing performance management, OEE improvement.
Preferred Qualifications : Medical device or FDA-regulated manufacturing experience; ISO 13485 environment experience; Industry 4.0 certifications; Lean Six Sigma Black Belt; industrial engineering background; smart factory implementation experience.
Digital Transformation Specialist Jobs by Experience Level
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Find JobsDigital Transformation Specialist Job Market
Who's Hiring
- Alvarez & Marsal83
- Lam Research5
- ABB3
- Wabtec3
- Plante Moran3
Top Industries Hiring
- Consulting & Professional Services29
- Accounting & Auditing15
- Investment & Asset Management14
- Electronics & Hardware1
What Employers Look For
The qualifications that appear most often in digital transformation specialist jobs.
- Five or more years of experience leading digital transformation or enterprise technology initiatives
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud
- Experience with change management methodologies like Prosci or Kotter
- Familiarity with Agile, Scrum, or SAFe frameworks for project delivery
- Strong stakeholder management and executive communication skills
- Bachelor's degree in information systems, business, computer science, or a related field
Tips for Your Digital Transformation Specialist Job Search
Quantify transformation outcomes on your resume
Hiring managers for these roles want to see measurable impact, not just project lists. Replace vague bullet points with outcomes like cost savings from a process automation initiative, adoption rates after a system rollout, or cycle-time reductions you drove.
Tailor applications to the transformation maturity level
A company in early digital adoption needs a specialist who can build foundational roadmaps, while a digitally mature company needs someone to optimize and scale. Read the job posting carefully and mirror the language that signals where they are in that journey.
Apply early to roles that fit
Migrate Mate lists digital transformation specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight cross-functional stakeholder experience explicitly
These roles require alignment across IT, operations, finance, and leadership. If your resume only lists technical tools, add a line or two describing how you facilitated decision-making across departments or managed executive buy-in for a major initiative.
Prepare a transformation case study for interviews
Most interviews for this role include a scenario question or case exercise. Walk in ready to narrate one end-to-end transformation you led, covering the problem, your approach, the stakeholders involved, the tools deployed, and the measurable result.
Negotiate scope and authority, not just compensation
Before accepting an offer, clarify what budget authority you will hold, which teams you will coordinate, and whether the role has executive sponsorship. Transformation initiatives stall without organizational backing, and understanding that structure up front changes what the role is actually worth.
Digital Transformation Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most digital transformation specialists?
The companies hiring the most digital transformation specialists right now include Alvarez & Marsal, Lam Research, and ABB, with the largest share of openings in California, Illinois, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is highest at large enterprises and consulting firms undertaking multi-year modernization programs.
How many digital transformation specialist jobs are remote?
About 87% of digital transformation specialist openings are fully remote or hybrid as of November 2026, reflecting the consultative and cross-functional nature of the role. Sub-areas focused on strategy development, program oversight, and technology vendor management tend to offer the most location flexibility, while roles tied to on-site operations or manufacturing environments typically require in-person presence.
How do you become a digital transformation specialist?
Start by building experience at the intersection of technology and business operations, whether through IT project management, process improvement, or enterprise software implementations. Develop fluency in change management frameworks and cloud platforms, then pursue credentials like a PMP, Prosci certification, or a relevant cloud associate certification. Moving into a transformation-focused role from a business analyst or IT program manager position is a common path.
Can you get a digital transformation specialist job with little experience?
Entry-level candidates can break into this field by positioning adjacent experience in business analysis, IT support, or operations improvement as transformation-relevant. Focus on roles titled digital transformation analyst or associate, which often require two to three years of experience rather than five or more. Building a portfolio of a process you redesigned or a system you helped implement gives hiring managers concrete evidence of your capabilities.
What does the digital transformation specialist interview process look like?
Most interview processes include an initial screening call, followed by a technical or competency-based interview covering your experience with specific platforms and methodologies. Expect at least one behavioral round focused on stakeholder management and change adoption scenarios. Many employers also include a case presentation or take-home exercise where you outline a transformation roadmap for a hypothetical or anonymized business problem.
Where can I find and apply to digital transformation specialist jobs?
You can find and apply to digital transformation specialist jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing from the page.
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