Project Manager / Product Owner — AI Enablement

Tata Consultancy Services

Montreal (administrative region)

On-site

CAD 110,000 - 170,000

Full time

14 days+
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Job summary

Tata Consultancy Services is seeking a seasoned Project Manager / Product Owner to lead cross-functional AI initiatives for enterprise deployment of AI products including Microsoft Copilot, OpenAI ChatGPT, and others. The role focuses on backlog ownership, roadmap delivery, and ensuring security, compliance, and measurable business value across regions.

Ideal candidates have senior technology project management experience, AI deployment know-how, and strong governance skills, with bilingual

Qualifications

  • Senior years of technology project/programme management in enterprise environments.
  • Direct experience leading enterprise deployments of AI or LLM-based products.
  • Solid grasp of AI governance and risk frameworks; security and compliance controls.
  • Experience with connectors and automation (Python, PowerShell) to coordinate with engineering and QA.
  • PMP and/or Scrum certification is an asset.
  • Bilingual English/French strongly preferred for Montreal-based stakeholders.

Responsibilities

  • Own end-to-end delivery of AI enablement initiatives from planning and governance through execution, hypercare and handover to operations.
  • Act as Product Owner for the AI portfolio: define and prioritise the backlog, translate business demand into features, balance requests with security and compliance.
  • Establish integrated plans, RAID logs, decision records, scope baselines and executive reporting for multi-workstream programmes.
  • Coordinate AI product deployment with security, compliance and regulatory requirements (DLP/Purview, access management, SSO/SCIM, audit logging, responsible-AI).
  • Partner with platform engineering and Level 3 to enable automation, environment readiness and integrations (e.g. M365, Entra ID, ServiceNow, Azure OpenAI).
  • Lead risk assessments and design reviews; ensure governance, data privacy and model usage guidelines.
  • Define adoption plans, training, communications and success metrics; monitor usage and cost efficiency.
  • Keep business informed and engaged; showcase new features securely and compliantly.

Skills

Enterprise PM
AI governance
Security & compliance
Product ownership
Cross-functional leadership
Bilingual EN/FR

Education

BSc/BA in CS or Engineering
PMP / Scrum certification (asset)

Tools

Power Platform
Python
PowerShell

Job description

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.


Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.


It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.


Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.


Job Description :-

Role Summary

We are seeking a seasoned Project Manager / Product Owner to lead cross-functional AI initiatives, with a primary focus on the enterprise deployment and enablement of the firm's end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok and Gemini, together with other AI products as they are introduced (for example Zoom AI Companion). You will drive complex, multi-region programmes from discovery through rollout and adoption, owning the product backlog and delivery roadmap while ensuring delivery quality, security, compliance and measurable business value. This role sits at the intersection of programme leadership, AI product ownership and stakeholder management across technology and business teams.


Key Responsibilities


  • Own end-to-end delivery of AI enablement initiatives from planning and governance through execution, hypercare and handover to operations.

  • Act as Product Owner for the AI portfolio: define and prioritise the product backlog, translate business demand into deliverable features, and balance new-feature requests against security, legal and compliance constraints.

  • Establish and manage integrated plans, RAID logs, decision records, scope baselines and executive reporting for multi-workstream programmes.

  • Coordinate the configuration, deployment and scaling of AI products in alignment with security, compliance and regulatory requirements (e.g. DLP/Purview, access management, SSO/SCIM, audit logging, responsible-AI policies).

  • Partner with platform engineering and Level 3 to enable automation, environment readiness and integrations (e.g. M365, Entra ID, ServiceNow, Azure OpenAI) and to track operational SLAs and OKRs.

  • Lead risk assessments and design reviews for AI solutions; ensure adherence to governance, data privacy and model-usage guidelines.

  • Define adoption and enablement plans, training, communications and success metrics; monitor usage, performance and cost efficiency and drive continuous improvement.

  • Keep the business informed and engaged - showcase new features at pace while ensuring they are secure and meet legal and compliance needs.


Qualifications & Experience


  • Senior years of technology project/programme management in enterprise environments; proven delivery across multi-country or regulated industries (financial services preferred).

  • Direct experience leading enterprise deployments of AI or LLM-based products; strong understanding of generative-AI concepts and enterprise integration patterns.

  • Solid grasp of AI governance and risk frameworks; experience implementing security and compliance controls (DLP/Purview, audit logging, access management, encryption).

  • Experience of connectors and/or the Power Platform; hands-on familiarity with automation and scripting concepts (e.g. Python, PowerShell) to coordinate with engineering and QA.

  • BSc/BA in Computer Science, Engineering or related field (or equivalent experience); PMP and/or Scrum certification is an asset.

  • Bilingual (English/French) strongly preferred for Montreal-based stakeholders and partners.


Core Skills


  • Programme leadership: planning, prioritisation, dependency management and executive reporting.

  • Product ownership: backlog management, acceptance criteria, release planning and value measurement.

  • Risk and issue management with strong problem-solving and decision facilitation.

  • Stakeholder management and communication; ability to articulate complex technical topics to senior executives.

  • Change management and adoption: training materials, communications and stakeholder readiness.


Key Performance Indicators


  • On-time, on-budget delivery against agreed scope and quality gates.

  • Compliance posture (DLP, access controls, audit logging) and successful governance reviews.

  • Adoption and satisfaction metrics (active usage, NPS/CSAT) and realised business outcomes.

  • Speed of new-feature enablement to the business, within security and compliance guardrails.

  • Cost efficiency (licensing/utilisation optimisation) and continuous-improvement initiatives implemented.

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