Technical Product Manager

Drive technology-enabled product delivery within Deloitte’s Digital, Data, Analytics & Innovation (DDAI) organization.

Responsibilities

• Lead problem discovery to understand user workflows, business needs, pain points, and desired outcomes; turn findings into product opportunities.
• Co-create and communicate product vision, strategy, roadmap, success measures, and a prioritized backlog with business, engineering, experience, and delivery stakeholders.
• Lead or directly contribute to proof-of-concept solutions that validate user value, assess feasibility, surface risks, and inform implementation direction.
• 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.
• Collect, refine, and document requirements, user stories, acceptance criteria, process flows, and relevant non-functional requirements.
• Act as the bridge between product intent and technical execution, ensuring delivery teams understand desired outcomes and the user experience.
• Use generative AI and agentic tools to speed up 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 AI-enabled capabilities are reliable, explainable, appropriately governed, and fit for the workflow.
• Own the transition from concept and proof of concept into implementation, maintaining accountability 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 guide future product decisions.
• Build trusted relationships with internal customers and leaders through clear updates on progress, risks, decisions, trade-offs, and next steps.

Requirements

• 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.
• Proven experience delivering 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 stakeholder needs into prioritized requirements, user stories, acceptance criteria, process flows, and measurable outcomes.
• Hands-on experience creating lightweight prototypes or automations using Python, JavaScript, or comparable technologies.
• Working knowledge of SQL and/or NoSQL databases, using data for analysis, reporting, validation, or proof-of-concept development.
• Demonstrated use of generative AI tools for research, analysis, prototyping, documentation, or workflow automation.
• Ability to lead cross-functional teams without direct authority, align stakeholders around shared goals, remove delivery obstacles, and maintain momentum in virtual or distributed environments.
• Strong written, verbal, presentation, relationship-building, and stakeholder-management skills.
• Capacity to manage multiple priorities, make decisions with incomplete information, and execute with attention to detail.

Technologies

• Python
• JavaScript
• SQL
• NoSQL
• Azure
• React
• Angular
• HTML
• CSS

Work You’ll Do

• Move comfortably between customer conversations, product strategy, technical trade-offs, and implementation.

The Team

• Digital Solutions team in CoRe’s DDAI organization develops products and technology-enabled solutions for Deloitte’s internal customers.
• Global CoRe is a shared service within Deloitte Global providing services to Deloitte People worldwide: Knowledge Services, Creative Services, Contact Center, Procurement and Strategic Insights Center.
• Delivers capabilities that save time, convey insights, minimize risk, enhance client service delivery, solve problems, and support Deloitte success.

Preferred

• Experience designing, developing, or delivering cloud-based enterprise solutions, with Azure experience preferred.
• Experience applying generative AI or agentic capabilities to enterprise workflows, including retrieval, orchestration, evaluation, human-in-the-loop processes, or workflow automation.
• Experience evaluating technical approaches and communicating trade-offs with engineering and business stakeholders.
• Experience with modern front-end technologies such as React, Angular, JavaScript, HTML, or CSS.
• Experience working with enterprise data platforms, integration patterns, APIs, identity, or workflow technologies.
• Experience with user research, design thinking, service design, usability testing, or customer journey mapping.
• Experience defining evaluation frameworks, quality measures, monitoring approaches, or responsible-use practices for AI-enabled products.
• Experience leading mid-sized cross-functional teams or mentoring product, engineering, or delivery professionals.
• Experience working in a product operating model, Agile delivery environment, or product engineering organization.
• Relevant product, Agile, cloud, data, or AI certifications.

Location: Tampa, FL (onsite)

Minimum experience: 6 years