Technical Product Manager, AI-Driven Enterprise Solutions

Deloitte France; Nashville (TN); On-site; USD 120,000 - 180,000; Full time

Job summary

Deloitte Global is seeking a Technical Product Manager within the Digital, Data, Analytics & Innovation (DDAI) team. You will lead products and technology-enabled solutions from discovery through implementation, release, and adoption, working with business stakeholders, engineering, and delivery teams to deliver valuable, usable, and feasible solutions.

You will apply technical fluency, leverage generative AI for research and prototyping, and ensure responsible AI use.

Qualifications

• Bachelor's degree in computer science, engineering, business, information systems, or a related field; or equivalent experience.
• Six to ten years of experience in technical product management, enterprise technology, solution delivery, business analysis, software development, or a related discipline.
• Demonstrated experience leading products or technology-enabled solutions from discovery or proof of concept through implementation and adoption.
• Strong technical fluency across data flows, cloud platforms, application architecture concepts, security considerations, and enterprise technology constraints.
• Experience translating customer and stakeholder needs into prioritized requirements, user stories, acceptance criteria, process flows, and measurable outcomes.
• Hands‑on experience building lightweight prototypes or automations using Python, JavaScript, or comparable technologies.
• Working knowledge of SQL and/or NoSQL databases, with experience using data to support analysis, reporting, validation, or proof‑of‑concept development.
• Demonstrated experience using generative AI tools to accelerate research, analysis, prototyping, documentation, or workflow automation.
• Proven ability to lead cross-functional teams without direct authority, align stakeholders around shared goals, remove delivery obstacles, and maintain momentum in a virtual and distributed environment.
• Strong written, verbal, presentation, relationship-building, and stakeholder‑management skills.
• Ability to manage multiple priorities, make decisions with incomplete information, and execute with attention to detail.

Responsibilities

• Lead discovery to understand user workflows, business needs, pain points, and desired outcomes; translate those insights into clear product opportunities.
• Co-create and communicate the product vision, strategy, roadmap, success measures, and prioritized backlog with business, engineering, experience, and delivery stakeholders.
• Lead or directly contribute to proof-of-concept solutions that validate user value, test feasibility, surface risks, and inform the recommended path to implementation.
• Partner with engineering and technology leads to evaluate solution approaches and trade-offs across business value, feasibility, data, security, scalability, performance, cost, timeline, and delivery risk.
• Gather, refine, and document requirements, user stories, acceptance criteria, process flows, and relevant non-functional requirements.
• Serve as the bridge between product intent and technical execution, ensuring that the desired outcomes and user experience are clearly understood by delivery teams.
• Use generative AI and agentic tools to accelerate market and domain research, synthesize feedback, generate hypotheses, build lightweight prototypes, test assumptions, and reduce rework.
• Apply human judgment to validate AI-generated outputs and ensure that AI-enabled capabilities are reliable, explainable, appropriately governed, and fit for the intended workflow.
• Lead the transition from concept and proof of concept into implementation, remaining accountable for product outcomes through release, rollout, adoption, and continuous improvement.
• Coordinate cross-functional delivery by managing priorities, dependencies, risks, decisions, milestones, and stakeholder expectations.
• Define and monitor product KPIs, adoption measures, customer feedback, and other evidence of value to inform future product decisions.
• Build trusted relationships with internal customers and leaders through clear communication of progress, risks, decisions, trade-offs, and next steps.

Skills

Technical product mgmt

Cross-functional leadership

Requirements gathering

Prototyping

SQL/NoSQL

Generative AI tools

Stakeholder management

Decision making

Education

Bachelor's degree in CS/Engineering

Equivalent experience

Tools

Python

JavaScript

React/Angular

SQL/NoSQL

Job description

Deloitte Global is seeking a Technical Product Manager within the Digital, Data, Analytics & Innovation (DDAI) team. You will lead products and technology-enabled solutions from discovery through implementation, release, and adoption, working with business stakeholders, engineering, and delivery teams to deliver valuable, usable, and feasible solutions.

You will apply technical fluency, leverage generative AI for research and prototyping, and ensure responsible AI use.