Product Management Manager, GenAI/AI Product Experience

Product Management Manager, GenAI/AI Product Experience at Deloitte

Zora AI is Deloitte's innovative AI agent platform, delivering role- and function-specific products across various domains such as Finance, Procurement, Supply Chain, Customer, and Human Capital. As a Product Management Manager, GenAI/AI Product Experience, you will take full ownership of one or more sets of these agent-enabled products, from defining their vision and roadmap to outlining requirements and ensuring successful delivery. A key aspect of this role is to build trust, drive adoption, and achieve measurable business outcomes for our enterprise users.

Key Responsibilities

• Own product strategy and roadmap: Define the product vision, identify target users, articulate value propositions, and develop a multi-quarter roadmap for multiple role-/function-specific products.
• Translate needs into outcomes: Collaborate with clients and internal teams to pinpoint high-value use cases, meticulously map workflows, define essential 'jobs to be done,' and establish clear, measurable success metrics.
• Lead discovery and delivery: Oversee both the discovery phase, including research, prototyping, and piloting, and the delivery phase, from MVP to large-scale deployment. This involves managing scope, tradeoffs, and dependencies across engineering, data, and design teams.
• Define product requirements: Create comprehensive Product Requirements Documents (PRDs), user stories, acceptance criteria, and workflow diagrams for agent behaviors, tool integrations, and user experiences.
• Agent experience & orchestration: Specify agent capabilities, including reasoning, task planning, tool use, and approvals, as well as human-in-the-loop patterns and robust escalation/exception handling.
• Data and integration leadership: Drive requirements for critical components like connectors, data access patterns, security/privacy, logging/auditability, and seamless integration with complex enterprise systems.
• Trustworthy AI & risk management: Partner closely with risk and compliance teams to address crucial aspects of model governance, safety, monitoring, explainability, bias, and audit requirements.
• Go-to-market and enablement: Collaborate with sales and delivery teams to package offerings, provide input on pricing/packaging, develop compelling demos, and support sales pursuits and product launches.
• Operate the product cadence: Maintain the product backlog, conduct sprint planning, track progress diligently, and align all stakeholders through clear decision points and effective communications.

Required Qualifications

• 7+ years of Product Management experience in enterprise software, SaaS, platforms, or data products, including a proven track record of shipping products from concept to General Availability (GA).
• 2+ years of recent experience delivering products involving AI/ML (with a preference for Generative AI), including expertise in evaluation, monitoring, and iteration loops.
• 2+ years of recent experience supporting product discovery activities such as research, hypothesis testing, and experimentation, as well as product delivery including requirements definition, backlog management, and release management.
• 1+ year working with enterprise integration patterns, including APIs, eventing, identity/SSO, role-based access control, and 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 Qualifications

• Experience with agentic architectures, including tool calling, retrieval-augmented generation, workflow orchestration, and multi-agent patterns.
• Familiarity with LLM evaluation methods such as quality metrics, red-teaming, grounding, and hallucination mitigation, along with observability best practices.
• Domain depth in one or more target functions, such as Finance, Procurement, Supply Chain, HR, or Customer Operations.
• Consulting, enterprise transformation, or platform product experience, particularly with shared services, reusable components, and governance.
• Proven ability to manage multiple products with competing priorities and shared platform dependencies effectively.
• Experience launching products within OCI / SAP / ERP / CRM ecosystems and connector marketplaces.
• Excellent stakeholder management and executive communication skills, with the ability to craft crisp narratives, PRDs, and decision memos.
• A track record of successful partnerships with engineering, design, data science, and risk/compliance teams to deliver in regulated or high-stakes environments.

Key Deliverables

• A comprehensive product strategy and 12-18 month roadmap, clearly outlining measurable outcomes.
• Detailed PRDs, epics, user stories, and acceptance criteria for each product and agent capability.
• A use-case catalog and a robust prioritization model, considering value, feasibility, risk, and readiness.
• MVP/pilot plans, complete with success metrics, phased rollout strategies, and scale criteria.
• Trust & governance artifacts, including evaluation approaches, monitoring plans, audit/logging requirements, and risk controls, developed in partnership with risk teams.
• Thorough release plans and launch readiness checklists, covering documentation, training, demo scripts, and enablement materials.
• An effective customer feedback loop, utilizing telemetry dashboards, Voice of Customer (VOC) insights, and a clear iteration plan.

How Success Will Be Measured (Example Outcomes)

• Adoption: Measured by active users, repeat usage, workflow completion rates, and feature utilization across product sets.
• Business impact: Quantified by cycle-time reduction for targeted workflows, cost-to-serve reductions, improved forecast accuracy, or enhanced exception resolution time per use case.
• Quality & reliability: Assessed through task success rates, low rework/rollback rates, adherence to latency/uptime targets, and incident trends.
• Trust & compliance: Demonstrated by audit readiness, policy adherence, reduction in high-severity model risks, and successful governance reviews.
• Delivery excellence: Reflected in roadmap predictability, on-time releases, high stakeholder satisfaction, and reduced dependency blockers.
• Customer outcomes: Evidenced by pilot-to-scale conversion, referenceable wins, and influence on renewal/expansion where applicable.

Working Model & Stakeholders

The working model for this role is Remote + Hybrid, expecting 2-3 days onsite with flexibility based on team and client needs. The successful candidate will operate within agile product teams with a regular release cadence.

Core stakeholders include:

• 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)

Compensation and Benefits

The wage range for this role considers a wide array of factors influencing compensation decisions, including skill sets, experience and training, licensure and certifications, and other business and organizational needs. The estimated range provided has not been adjusted for the applicable geographic differential associated with the position's potential location. At Deloitte, it is uncommon for an individual to be hired at or near the top of the range for their role; compensation decisions are made based on the specific facts and circumstances of each case. A reasonable estimate of the current range for this position is $102,000 - $210,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the program's rules. Any award will depend on various factors, including, but not limited to, individual and organizational performance.

For applicants requiring accommodation, further information can be found at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Key skills/competency

• Product Management
• GenAI
• AI/ML
• Product Strategy
• Roadmap Development
• Enterprise Software
• Agile Methodologies
• Stakeholder Management
• User Stories
• Risk Management