Senior Consultant Product Manager, Sourcing & Procurement

Deloitte offers a hybrid, remote-friendly working model and an agentic AI platform designed to deliver role- and function-specific products. As a Senior Consultant Product Manager for Sourcing & Procurement, you will lead an agentic product area end-to-end, helping teams define measurable outcomes, ensure trustworthy behavior, and drive adoption with procurement practitioners and stakeholders.

Location: Tampa, FL (hybrid)
Compensation: USD 116,200 - 229,100 per yearly
Experience: 5+ years
Education: Bachelor’s degree in a technical, analytical, or related field

What you’ll own

You will take ownership of delivery for a defined sourcing and procurement product/agent area, contributing to product vision, strategy, and a 12-18 month roadmap led by the Product Lead. You will connect discovery and delivery by defining success metrics, shaping the backlog, and aligning stakeholders across engineering, data, design, and risk.

Responsibilities

• Own delivery of the sourcing and procurement product/agent area, contributing to product strategy and roadmap planning.
• Define and track KPIs tied to procurement efficiency, cost reduction, and supplier performance; use data to refine direction and retire low-value work.
• Drive features that support end-to-end procurement workflows, including requisition, sourcing and RFx, contract management, supplier onboarding and collaboration, and purchase-to-pay.
• Translate business needs into measurable outcomes by identifying high-value use cases, mapping workflows, and defining “jobs to be done.”
• Apply deep procurement domain knowledge (direct/indirect sourcing, RFx, spend analytics, supplier management, P2P) to lead product decisions.
• Conduct user research and competitive analysis across procurement platforms to uncover unmet needs and opportunities.
• Partner directly with procurement practitioners, category managers, and finance stakeholders to prioritize solutions based on pain points.
• Run discovery (research, prototypes, Alphas) through delivery (MVP to scale), managing scope, tradeoffs, and dependencies across engineering, data, and design.
• Create PRDs, epics, user stories, acceptance criteria, and workflow diagrams for agent behaviors, tool integrations, and user experiences.
• Maintain a well-prioritized backlog, run sprint planning, track progress, remove blockers, and keep stakeholders aligned through clear decision points.
• Define agent capabilities, human-in-the-loop patterns, and escalation/exception handling for procurement workflows.
• Collaborate with engineering and data on requirements for connectors, data access patterns, security/privacy, logging/auditability, and integration with enterprise procurement and ERP systems.
• Work with risk, compliance, and cybersecurity on model governance, safety, monitoring, explainability, bias, and audit requirements aligned to the Trustworthy AI™ framework.
• Coordinate with sales, alliances, and delivery to package offerings, build demos, and support pursuits, pilots, and launches, contributing inputs to pricing and packaging.
• Use AI to accelerate domain research, synthesize supplier and spend-data insights, and prototype and validate workflow improvements.
• Test assumptions early, retire low-value ideas quickly, and focus the team on high-impact improvements for procurement operations.

Required qualifications

• Bachelor’s degree in a technical, analytical, or related field (examples include engineering, computer science, data science, mathematics, or finance).
• 5-8 years of product management experience in enterprise software, SaaS, platforms, or data products, including shipping products or major features from concept to launch.
• Ability to own delivery of a product area with competing priorities and shared platform dependencies.
• Experience delivering products involving AI/ML (GenAI preferred), including evaluation, monitoring, and iteration loops.
• Strong command of product discovery and delivery, including research, hypothesis testing, experimentation, requirements, backlog, and release management.
• Working knowledge of enterprise integration patterns (APIs, eventing, identity/SSO, role-based access control, data pipelines).
• Experience partnering with engineering, design, data science, and risk/compliance teams in regulated or high-stakes environments.
• Exposure to procurement, sourcing, or supply chain, with the ability to build domain depth quickly.
• Strong stakeholder management and communication, including writing crisp narratives, PRDs, and decision memos.
• Ability to travel 0-25%, on average.
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

How success is measured

• Adoption: active users, repeat usage, workflow completion rates, and feature utilization.
• Business impact: cycle-time reduction, cost-to-serve and spend reductions, and improved supplier performance or exception-resolution time.
• Quality & reliability: task success rate, low rework/rollback rates, latency/uptime targets, and healthy incident trends.
• Trust & compliance: audit readiness, policy adherence, reduction in high-severity model risks, and successful governance reviews.
• Delivery excellence: roadmap predictability, on-time releases, stakeholder satisfaction, and fewer dependency blockers.
• Customer outcomes: pilot-to-scale conversion and referenceable wins.

The platform you’ll build with

Zora AI™ by Deloitte is Deloitte’s agentic AI platform delivering role- and function-specific products, including Finance, Procurement, Supply Chain, Customer, and Human Capital. It is built on the NVIDIA AI stack and underpinned by the Trustworthy AI™ framework.

Working model & team collaboration

Role includes a remote + hybrid approach, typically 2-3 days onsite, operating in agile product teams on a regular release cadence. You will also mentor Consultants and Analysts, sharing product practices and helping raise delivery quality. Key partners include engineering (platform and product squads), data science and applied AI (models, evaluation, tuning), design and research (UX and prototyping), cybersecurity and privacy (security controls and data protection), risk/legal/compliance (AI governance and auditability), domain SMEs, sales/alliances/delivery, and procurement customer stakeholders.

Technologies: AI/ML, GenAI, APIs, eventing, identity/SSO, role-based access control, data pipelines, NVIDIA AI stack, Trustworthy AI™ framework

Wage range notice: A reasonable estimate of the current range is $116,200-$229,100.