AI Product & Program Manager – Generative AI, LLMs, Roadmap Strategy, Agile/SAFe & Governance

Synechron; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Synechron is seeking an AI Product / Program Management Manager with 10+ years of experience to lead the strategy, planning, delivery and governance of enterprise AI initiatives. The role will define AI product roadmaps, manage cross-functional programs, align business objectives with AI solutions and oversee execution from ideation through production.

The position requires experience in product management, program delivery, stakeholder engagement, digital transformation and AI/Generative AI

Qualifications

• Must have product management and roadmap management experience with defining vision, strategy, use-case priorities and business cases.
• Ability to track program plans, budgets, resources, timelines, risks, issues, dependencies and milestones.
• Proficiency with agile delivery, backlog management and release planning for enterprise AI programs.
• Experience with governance, privacy, security, risk management and model lifecycle oversight.

Responsibilities

• Define and drive the vision, strategy and roadmap for AI and Generative AI products.
• Identify opportunities where AI creates measurable value and prioritise use cases.
• Lead end-to-end delivery across multiple teams and stakeholder groups.
• Establish governance frameworks, track progress and provide executive status updates.

Skills

Product management

Roadmap management

Program delivery

Stakeholder engagement

AI platforms

Governance

Cross-functional leadership

Analytics & reporting

Tools

Azure AI

Azure OpenAI

AWS AI/ML

Google Vertex AI

Databricks

Job description

Job Summary

Synechron is seeking an AI Product / Program Management Manager with 10+ years of experience to lead the strategy, planning, delivery and governance of enterprise AI initiatives. The role will define AI product roadmaps, manage cross-functional programs, align business objectives with AI solutions and oversee execution from ideation through production. The position requires experience in product management, program delivery, stakeholder engagement, digital transformation and AI/Generative AI technologies.

Required

Software Requirements

• Product management and roadmap‑management tools for defining:Product vision and strategyUse-case prioritiesProduct requirementsUser storiesSuccess metricsBusiness cases
• Program and portfolio management tools for tracking:Program plansBudgetsResourcesTimelinesRisksIssuesDependenciesMilestones
• Agile delivery tools used to manage backlogs, sprints, releases, dependencies and delivery reporting.
• Reporting and presentation tools used for executive-level status updates, governance forums, business cases and performance reporting.
• Collaboration and workshop tools used for requirements gathering, stakeholder alignment, executive reviews and cross-functional delivery.
• Data analysis and dashboarding tools used to measure AI adoption, business impact, ROI, operational efficiency and customer outcomes.
• Working knowledge of AI platforms and tools, including one or more of the following:Azure AIAzure OpenAIAWS AI/MLGoogle Vertex AIDatabricksSimilar enterprise AI platforms
• Tools and frameworks used to support AI governance, privacy, security, risk management, compliance and model lifecycle oversight.

Preferred

• Advanced experience with product portfolio, investment and benefits-realization tools.
• Experience with tools supporting AI use-case intake, prioritization, model governance and responsible AI reviews.
• Experience with dashboarding and analytics tools for KPI tracking and executive reporting.
• Experience with vendor-management, procurement and contract-tracking tools.
• Experience with tools that support SAFe, Scrum, Agile planning and enterprise delivery governance.

Overall Responsibilities

Product Strategy and Roadmap

• Define and drive the vision, strategy and roadmap for AI and Generative AI products.
• Identify business opportunities where AI can create measurable value, operational efficiency, improved customer experience or competitive advantage.
• Work with business leaders, clients, product teams and technology teams to assess, prioritize and sequence AI use cases.
• Develop product requirements, user stories, success metrics, business cases and value hypotheses.
• Align product roadmaps with organizational strategy, technology capabilities, data availability, regulatory expectations and delivery capacity.
• Establish clear product outcomes and communicate priorities to all relevant stakeholders.

Program Management and Delivery

• Lead end-to-end delivery of AI initiatives across multiple teams and stakeholder groups.
• Manage program planning, budgeting, resource allocation, timelines, risks, issues, dependencies and delivery milestones.
• Establish governance frameworks that support consistent decision-making, accountability and alignment with organizational objectives.
• Track program progress and provide regular executive-level status updates.
• Coordinate delivery across product, engineering, data, architecture, security, compliance, operations and business teams.
• Ensure AI programs are delivered within agreed scope, budget and timelines, or that changes are formally assessed and communicated.
• Drive issue resolution, escalation management and corrective actions across the program lifecycle.

AI and Technology Leadership

• Collaborate with Data Scientists, AI Engineers, Architects and Business Analysts to define AI-driven solutions.
• Drive the adoption of Generative AI, Machine Learning, NLP, Computer Vision and other relevant AI technologies.
• Evaluate AI platforms, tools and vendors against business needs, technical suitability, security, cost, scalability and support requirements.
• Ensure AI products are designed for scalability, reliability, security, maintainability and regulatory compliance.
• Support decisions related to data readiness, model selection, model lifecycle, integration, deployment and operational support.
• Translate technical risks and constraints into clear business impacts and delivery recommendations.

Stakeholder and Client Management

• Act as the primary interface between business stakeholders, clients and technical teams.
• Facilitate workshops, requirements-gathering sessions, use-case discovery sessions, prioritization forums and executive reviews.
• Communicate program status, risks, issues, dependencies, decisions, outcomes and changes to senior leadership.
• Build alignment across stakeholders with different priorities, levels of technical knowledge and business objectives.
• Manage expectations, negotiate trade-offs and maintain clear communication throughout product and program delivery.
• Capture stakeholder feedback and ensure it is reflected in product decisions and delivery plans.

Governance and Risk Management

• Implement AI governance frameworks covering ethics, compliance, privacy, security, data usage and model risk.
• Monitor risks, issues and mitigation plans across AI programs.
• Ensure adherence to enterprise architecture, data governance and applicable regulatory standards.
• Establish appropriate review points for AI use-case approval, solution design, model evaluation, release readiness and production monitoring.
• Support responsible AI practices, including transparency, explainability, fairness, human oversight and appropriate controls.
• Ensure that production AI solutions have defined ownership, monitoring, support and escalation processes.

Performance and Value Realization

• Define KPIs and success metrics for AI products and programs.
• Measure business impact, ROI, adoption, customer outcomes and operational efficiency