Manager, Product Management Jobs at Deloitte with Visa Sponsorship
Manager, Product Management roles at Deloitte sit at the intersection of client strategy and technology delivery, leading cross-functional teams on complex consulting engagements. Deloitte has a well-established sponsorship infrastructure that supports international professionals across multiple visa categories for this function.
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Get Access To All JobsINTRODUCTION
Zora AI is Deloitte's AI agent platform delivering role-/function-specific products (e.g., Finance, Procurement, Supply Chain, Customer, Human Capital). As a Product Manager, you will own one or more sets of agent-enabled products end-to-end—defining vision, roadmap, requirements, and delivery—while ensuring trust, adoption, and measurable business outcomes for enterprise users.
KEY RESPONSIBILITIES
- Own product strategy and roadmap: Define product vision, target users, value propositions, and multi-quarter roadmap across multiple role-/function-specific products.
- Translate needs into outcomes: Partner with clients/internal teams to identify high-value use cases, map workflows, and define "jobs to be done" and measurable success metrics.
- Lead discovery and delivery: Run discovery (research, prototypes, pilots) and delivery (MVP to scale), managing scope, tradeoffs, and dependencies across engineering, data, and design.
- Define product requirements: Create PRDs, user stories, acceptance criteria, and workflow diagrams for agent behaviors, tool integrations, and user experiences.
- Agent experience & orchestration: Specify agent capabilities (reasoning, task planning, tool use, approvals), human-in-the-loop patterns, and escalation/exception handling.
- Data and integration leadership: Drive requirements for connectors, data access patterns, security/privacy, logging/auditability, and integration with enterprise systems.
- Trustworthy AI & risk management: Partner with risk/compliance to address model governance, safety, monitoring, explainability, bias, and audit requirements.
- Go-to-market and enablement: Collaborate with sales and delivery to package offerings, define pricing/packaging inputs, create demos, and support pursuits and launches.
- Operate the product cadence: Maintain backlog, run sprint planning, track progress, and align stakeholders through clear decision points and communications.
REQUIRED QUALIFICATIONS
- 7+ years of Product Management experience (enterprise software, SaaS, platforms, or data products), including shipping products from concept to GA.
- 2+ years of recent experience delivering products involving AI/ML (GenAI preferred), including evaluation, monitoring, and iteration loops.
- 2+ years of recent experience supporting product discovery (research, hypothesis testing, experimentation) and product delivery (requirements, backlog, release management).
- 1+ year working with enterprise integration patterns (APIs, eventing, identity/SSO, role-based access control, data pipelines).
- Limited immigration sponsorship may be available.
- Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
PREFERRED
- Experience with agentic architectures (tool calling, retrieval-augmented generation, workflow orchestration, multi-agent patterns).
- Familiarity with LLM evaluation (quality metrics, red-teaming, grounding, hallucination mitigation) and observability.
- Domain depth in one or more target functions (e.g., Finance, Procurement, Supply Chain, HR, Customer Operations).
- Consulting, enterprise transformation, or platform product experience (shared services, reusable components, governance).
- Proven ability to manage multiple products with competing priorities and shared platform dependencies.
- Experience launching products with OCI / SAP / ERP / CRM ecosystems and connector marketplaces.
- Excellent stakeholder management and executive communication; able to write crisp narratives, PRDs, and decision memos.
- Track record of partnering with engineering, design, data science, and risk/compliance teams to deliver in regulated or high-stakes environments.
KEY DELIVERABLES
- Product strategy and 12-18 month roadmap with measurable outcomes.
- PRDs, epics, user stories, and acceptance criteria for each product/agent capability.
- Use-case catalog and prioritization model (value, feasibility, risk, readiness).
- MVP/pilot plans with success metrics, rollout phases, and scale criteria.
- Trust & governance artifacts: evaluation approach, monitoring plan, audit/logging requirements, and risk controls (in partnership with risk teams).
- Release plans and launch readiness checklists (docs, training, demo scripts, enablement).
- Customer feedback loop: telemetry dashboards, VOC insights, and iteration plan.
HOW SUCCESS WILL BE MEASURED (EXAMPLE OUTCOMES)
- Adoption: active users, repeat usage, workflow completion rates, feature utilization by product set.
- Business impact: cycle-time reduction for targeted workflows, cost-to-serve reductions, improved forecast accuracy or exception resolution time (by use case).
- Quality & reliability: task success rate, low rework/rollback rates, latency/uptime targets, incident trends.
- Trust & compliance: audit readiness, policy adherence, reduction in high-severity model risks, successful governance reviews.
- Delivery excellence: roadmap predictability, on-time releases, stakeholder satisfaction, reduced dependency blockers.
- Customer outcomes: pilot-to-scale conversion, referenceable wins, renewal/expansion influence (where applicable).
WORKING MODEL & STAKEHOLDERS (EDIT AS NEEDED)
- Working model: Remote + Hybrid (2-3 days onsite) with flexibility based on team and client needs; operates in agile product teams with regular release cadence.
-
Core stakeholders:
-
Engineering (platform + product squads)
- Data Science / Applied AI (models, evaluation, tuning)
- Design / Research (UX, workflow design, prototyping)
- Cybersecurity & Privacy (security controls, data protection)
- Risk, Legal, Compliance (AI governance, auditability, policy alignment)
- Domain SMEs (Finance, Procurement, Supply Chain, HR, etc.)
- Sales, Alliances, and Delivery/Implementation (pursuits, packaging, rollout)
- Customer/Client stakeholders (product owners, process owners, IT, operations)
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,000 - $210,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
EA_ITS_ExpHire
INTRODUCTION
Zora AI is Deloitte's AI agent platform delivering role-/function-specific products (e.g., Finance, Procurement, Supply Chain, Customer, Human Capital). As a Product Manager, you will own one or more sets of agent-enabled products end-to-end—defining vision, roadmap, requirements, and delivery—while ensuring trust, adoption, and measurable business outcomes for enterprise users.
KEY RESPONSIBILITIES
- Own product strategy and roadmap: Define product vision, target users, value propositions, and multi-quarter roadmap across multiple role-/function-specific products.
- Translate needs into outcomes: Partner with clients/internal teams to identify high-value use cases, map workflows, and define "jobs to be done" and measurable success metrics.
- Lead discovery and delivery: Run discovery (research, prototypes, pilots) and delivery (MVP to scale), managing scope, tradeoffs, and dependencies across engineering, data, and design.
- Define product requirements: Create PRDs, user stories, acceptance criteria, and workflow diagrams for agent behaviors, tool integrations, and user experiences.
- Agent experience & orchestration: Specify agent capabilities (reasoning, task planning, tool use, approvals), human-in-the-loop patterns, and escalation/exception handling.
- Data and integration leadership: Drive requirements for connectors, data access patterns, security/privacy, logging/auditability, and integration with enterprise systems.
- Trustworthy AI & risk management: Partner with risk/compliance to address model governance, safety, monitoring, explainability, bias, and audit requirements.
- Go-to-market and enablement: Collaborate with sales and delivery to package offerings, define pricing/packaging inputs, create demos, and support pursuits and launches.
- Operate the product cadence: Maintain backlog, run sprint planning, track progress, and align stakeholders through clear decision points and communications.
REQUIRED QUALIFICATIONS
- 7+ years of Product Management experience (enterprise software, SaaS, platforms, or data products), including shipping products from concept to GA.
- 2+ years of recent experience delivering products involving AI/ML (GenAI preferred), including evaluation, monitoring, and iteration loops.
- 2+ years of recent experience supporting product discovery (research, hypothesis testing, experimentation) and product delivery (requirements, backlog, release management).
- 1+ year working with enterprise integration patterns (APIs, eventing, identity/SSO, role-based access control, data pipelines).
- Limited immigration sponsorship may be available.
- Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
PREFERRED
- Experience with agentic architectures (tool calling, retrieval-augmented generation, workflow orchestration, multi-agent patterns).
- Familiarity with LLM evaluation (quality metrics, red-teaming, grounding, hallucination mitigation) and observability.
- Domain depth in one or more target functions (e.g., Finance, Procurement, Supply Chain, HR, Customer Operations).
- Consulting, enterprise transformation, or platform product experience (shared services, reusable components, governance).
- Proven ability to manage multiple products with competing priorities and shared platform dependencies.
- Experience launching products with OCI / SAP / ERP / CRM ecosystems and connector marketplaces.
- Excellent stakeholder management and executive communication; able to write crisp narratives, PRDs, and decision memos.
- Track record of partnering with engineering, design, data science, and risk/compliance teams to deliver in regulated or high-stakes environments.
KEY DELIVERABLES
- Product strategy and 12-18 month roadmap with measurable outcomes.
- PRDs, epics, user stories, and acceptance criteria for each product/agent capability.
- Use-case catalog and prioritization model (value, feasibility, risk, readiness).
- MVP/pilot plans with success metrics, rollout phases, and scale criteria.
- Trust & governance artifacts: evaluation approach, monitoring plan, audit/logging requirements, and risk controls (in partnership with risk teams).
- Release plans and launch readiness checklists (docs, training, demo scripts, enablement).
- Customer feedback loop: telemetry dashboards, VOC insights, and iteration plan.
HOW SUCCESS WILL BE MEASURED (EXAMPLE OUTCOMES)
- Adoption: active users, repeat usage, workflow completion rates, feature utilization by product set.
- Business impact: cycle-time reduction for targeted workflows, cost-to-serve reductions, improved forecast accuracy or exception resolution time (by use case).
- Quality & reliability: task success rate, low rework/rollback rates, latency/uptime targets, incident trends.
- Trust & compliance: audit readiness, policy adherence, reduction in high-severity model risks, successful governance reviews.
- Delivery excellence: roadmap predictability, on-time releases, stakeholder satisfaction, reduced dependency blockers.
- Customer outcomes: pilot-to-scale conversion, referenceable wins, renewal/expansion influence (where applicable).
WORKING MODEL & STAKEHOLDERS (EDIT AS NEEDED)
- Working model: Remote + Hybrid (2-3 days onsite) with flexibility based on team and client needs; operates in agile product teams with regular release cadence.
-
Core stakeholders:
-
Engineering (platform + product squads)
- Data Science / Applied AI (models, evaluation, tuning)
- Design / Research (UX, workflow design, prototyping)
- Cybersecurity & Privacy (security controls, data protection)
- Risk, Legal, Compliance (AI governance, auditability, policy alignment)
- Domain SMEs (Finance, Procurement, Supply Chain, HR, etc.)
- Sales, Alliances, and Delivery/Implementation (pursuits, packaging, rollout)
- Customer/Client stakeholders (product owners, process owners, IT, operations)
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,000 - $210,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
EA_ITS_ExpHire
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Get Access To All JobsTips for Finding Manager, Product Management Jobs at Deloitte Jobs
Align your portfolio to consulting delivery contexts
Deloitte's product management roles focus on client-facing transformation programs, not internal product roadmaps. Frame your experience around stakeholder management, iterative delivery within enterprise environments, and outcomes measured by client impact rather than purely internal KPIs.
Target practices with active client pipelines
Deloitte hires product managers within specific practice areas like Government and Public Services or Technology and Transformation. Roles tied to active client engagements move faster through headcount approval, so filtering by practice in your applications improves your odds of a live opening.
Clarify your visa category before the offer stage
Deloitte sponsors H-1B, E-3, and employment-based Green Card pathways, but the category they file depends on your nationality and current status. Confirm which visa type applies to you during the recruiter screen so there are no surprises when legal gets involved at offer.
Understand how H-1B timing affects your start date
If you need a new H-1B cap-subject petition, USCIS only accepts filings in April with an October 1 start date. Factor this into your offer negotiation at Deloitte so both sides align on when you can realistically begin work.
Use Migrate Mate to surface open Manager roles
Deloitte posts product management openings across dozens of service lines and locations simultaneously. Use Migrate Mate to filter verified sponsorship-eligible roles at Deloitte so you're only spending time on positions that match your visa category and seniority level.
Prepare your credentials for PERM early if targeting a Green Card
Deloitte initiates PERM labor certification for EB-2 and EB-3 sponsorship, a DOL-administered process that requires documenting your qualifications against the role's minimum requirements. Gather degree certificates, transcripts, and employment verification letters before your first conversation with Deloitte's immigration team.
Manager, Product Management at Deloitte jobs are hiring across the US. Find yours.
Find Manager, Product Management at Deloitte JobsFrequently Asked Questions
Does Deloitte sponsor H-1B visas for Manager, Product Managements?
Yes, Deloitte sponsors H-1B visas for Manager, Product Management roles and has a well-resourced immigration legal team that manages the filing process internally. If you're subject to the H-1B cap, timing matters: USCIS accepts petitions in April for an October 1 start date. Deloitte also sponsors H-1B1 visas for eligible nationals and can file premium processing when project timelines require it.
How do I apply for Manager, Product Management jobs at Deloitte?
Applications go through Deloitte's careers portal, where roles are listed by service line, location, and practice area. Because Deloitte posts product management openings across many business units simultaneously, it helps to filter by practice area relevant to your background. Migrate Mate lets you browse and apply to verified sponsorship-eligible Manager, Product Management openings at Deloitte directly, saving time identifying which postings support visa sponsorship.
Which visa types does Deloitte commonly use for Manager, Product Management roles?
Deloitte sponsors H-1B and H-1B1 visas for specialty occupation hires, E-3 visas for Australian citizens, and employment-based immigrant visas including EB-2 and EB-3 for eligible candidates pursuing permanent residence. The visa category used depends on your nationality, current immigration status, and how long you've been in the U.S. Your Deloitte recruiter will connect you with their immigration counsel to determine the right pathway.
What qualifications and experience does Deloitte expect for a Manager, Product Management role?
Deloitte typically expects several years of product management experience in enterprise or consulting environments, with demonstrated ability to lead cross-functional teams and manage client relationships. A bachelor's degree in a relevant field is generally required, and an MBA is common at the manager level. Experience with agile delivery, digital transformation programs, or government technology projects strengthens your candidacy in their most active hiring practices.
How long does the visa sponsorship process take at Deloitte for this role?
Timeline depends on visa type. An E-3 consular appointment for Australian nationals can be completed within a few weeks of receiving the certified Labor Condition Application from DOL. H-1B transfers for candidates already on an H-1B typically take two to four months without premium processing. PERM-based Green Card sponsorship is a longer process, often one to two years before an immigrant petition is filed, and Deloitte generally initiates that process after you've been employed for a period of time.
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