AI Product / Program Management Manager

Job Title: AI Product / Program Management Manager

Experience: 10+ Years

Location: Bengaluru

Job Summary

We are seeking an experienced AI Product / Program Management Manager to lead the strategy, planning, delivery, and governance of enterprise AI initiatives. The ideal candidate will have a strong background in product management, program delivery, stakeholder management, and AI/GenAI technologies. This role will be responsible for driving AI product roadmaps, managing cross-functional teams, aligning business objectives with AI solutions, and ensuring successful execution from ideation to production.

Key Responsibilities

Product Strategy & Roadmap

• Define and drive the vision, strategy, and roadmap for AI and Generative AI products.
• Identify business opportunities where AI can create measurable value and competitive advantage.
• Work closely with business leaders, clients, and technology teams to prioritize features and use cases.
• Develop product requirements, user stories, success metrics, and business cases.

Program Management & Delivery

• Lead end-to-end delivery of AI initiatives across multiple teams and stakeholders.
• Manage program planning, budgeting, resource allocation, timelines, risks, and dependencies.
• Establish governance frameworks and ensure alignment with organizational objectives.
• Track project progress and provide regular executive-level status updates.

AI & Technology Leadership

• Collaborate with Data Scientists, AI Engineers, Architects, and Business Analysts to design AI-driven solutions.
• Drive adoption of Generative AI, Machine Learning, NLP, Computer Vision, and other emerging AI technologies.
• Evaluate AI platforms, tools, and vendors to support organizational goals.
• Ensure AI products are scalable, secure, and compliant with regulatory requirements.

Stakeholder Management

• Act as the primary interface between business stakeholders, clients, and technical teams.
• Facilitate workshops, requirement-gathering sessions, and executive reviews.
• Communicate program status, risks, and business outcomes to senior leadership.

Governance & Risk Management

• Implement AI governance frameworks covering ethics, compliance, privacy, and security.
• Monitor risks, issues, and mitigation plans across AI programs.
• Ensure adherence to enterprise architecture, data governance, and regulatory standards.

Performance & Value Realization

• Define KPIs and success metrics for AI products and programs.
• Measure business impact, ROI, adoption, and operational efficiency improvements.
• Drive continuous improvement and innovation through data-driven decision making.

Required Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, Business Management, or related field.
• 10+ years of experience in Product Management, Program Management, Digital Transformation, or Technology Delivery.
• 3+ years of experience leading AI/ML or Generative AI initiatives.
• Strong understanding of AI/ML lifecycle, GenAI applications, LLMs, prompt engineering, and AI governance.
• Proven experience managing large-scale cross-functional programs and stakeholder engagement.
• Strong knowledge of Agile, Scrum, SAFe, and product development methodologies.
• Excellent communication, presentation, negotiation, and leadership skills.

Preferred Qualifications

• MBA or equivalent business qualification.
• Certifications such as PMP, PgMP, SAFe, PMI-ACP, CSPO, or AI-related certifications.
• Experience with Azure AI, Azure OpenAI, AWS AI/ML, Google Vertex AI, Databricks, or similar platforms.
• Experience working in BFSI, Healthcare, Retail, Technology, or Consulting domains.

Key Skills

• AI Product Management
• Program & Portfolio Management
• Generative AI & LLMs
• Machine Learning & Data Analytics
• Product Roadmap & Strategy
• Stakeholder & Client Management
• Digital Transformation
• Agile / Scrum / SAFe
• Risk & Governance Management
• Business Case Development
• Vendor Management
• Executive Communication

Success Metrics

• Successful delivery of AI programs within scope, budget, and timelines.
• Adoption and business impact of AI solutions.
• Improved operational efficiency and customer experience.
• Effective AI governance and compliance adherence.
• Stakeholder satisfaction and measurable ROI realization.

S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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