Working within the Digital, Data, Analytics & Innovation (DDAI) team, this role involves leading products and technology-enabled solutions from problem discovery and inception through implementation, release, and adoption. You will work closely with business stakeholders, engineering, and delivery teams to shape valuable, viable, usable, and feasible solutions. The position suits a candidate who can move comfortably between customer conversations, product strategy, technical trade-offs, and implementation, bringing technical fluency to understand and evaluate options.
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
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
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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
Nice to have:
Experience designing, developing, or delivering cloud-based enterprise solutions; Azure experience is 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 communicate trade-offs clearly 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
Benefits
Eligibility to participate in our bonus program
Beyond traditional compensation and benefit programs, initiatives designed to recognize employee contributions, encourage personal wellness, and support firm growth
$4,000 per year for mental health support benefits
$1,300 flexible benefit spending account
Firm-wide closures known as "Deloitte Days"
Dedicated days for learning (known as Development and Innovation Days)
Flexible work arrangements and a hybrid work structure
Many careers in one firm
Flexible, proactive, and practical benefits that foster a culture of well-being and connectedness
Mentoring and on-the-job coaching from deep subject matter experts
Important Details
Available Locations: Toronto, ON; Calgary, AB; Halifax, NS; Ottawa, ON; Vancouver, BC
About the Company
Deloitte Global is the engine of the Deloitte network, with professionals who reach across disciplines and borders to develop and lead global initiatives. They deliver strategic programs and services that unite the organization. Global CoRe is a shared service within Deloitte Global, providing fundamental services to Deloitte people around the world, including Knowledge Services, Creative Services, Contact Center, Procurement, and Strategic Insights Center. Deloitte is the largest 100% Canadian-owned and operated professional services firm in Canada, with 20 offices across most of the country.
