Product Manager, Generative AI & Analytics
- Job ID
- 69097
- Category
- Enterprise Technology
- Location
- Chennai, India
- Work Type
- On-site
What Success Looks Like
User Adoption
- Increase active engagement across business users, analysts, developers, and operational teams.
- Demonstrate sustained growth in product adoption and usage.
Accuracy and Trust
- Deliver reliable AI experiences with measurable improvements in response quality, relevance, and user satisfaction.
- Establish evaluation frameworks that ensure transparency and confidence in AI-generated outputs.
Productivity Impact
- Improve business, analyst, and developer productivity through AI-powered automation and insights.
- Reduce manual effort and accelerate access to information and decision support.
Scalability and Enablement
- Enable onboarding of additional domains, functions, and teams through reusable AI capabilities and improved metadata quality.
- Increase organizational readiness for enterprise AI adoption.
Product Strategy and Vision
- Define and execute the product strategy, roadmap, and long-term vision for AI enablement capabilities.
- Identify opportunities where AI can improve productivity, automation, insight generation, and user experience.
- Align product priorities with business objectives and enterprise digital transformation strategies.
Product Discovery and User Experience
- Conduct research with business users, analysts, engineers, developers, and operational stakeholders.
- Identify user pain points and opportunities through data-driven discovery and experimentation.
- Translate customer needs into product requirements, user stories, epics, and measurable success criteria.
AI Product Delivery
- Partner closely with engineering, data science, UX, and platform teams to develop and launch AI-powered products.
- Guide development of conversational interfaces, AI assistants, natural language analytics, and developer productivity tools.
- Define experimentation frameworks and evaluation methodologies for AI capabilities and model performance.
Metrics and Business Value
- Establish KPIs and success measures focused on adoption, engagement, productivity, quality, trust, and operational efficiency.
- Monitor product outcomes and continuously optimize based on user feedback and behavioural insights.
- Develop business cases and value realization frameworks for AI investments.
Governance and Responsible AI
- Champion Responsible AI principles, governance frameworks, and compliance requirements.
- Promote metadata quality, knowledge management, explainability, and trustworthy AI practices.
- Partner with security, legal, and governance stakeholders to ensure policy compliance.
Stakeholder Management
- Build strong partnerships across business functions, technology organizations, and senior leadership.
- Communicate product vision, strategy, roadmap, risks, and outcomes effectively to executive and technical audiences.
- Drive organisational adoption and change management activities for AI-powered capabilities.
Required
- Bachelor's degree in Business, Computer Science, Engineering, Information Systems, Data Science, or a related field.
- 8-10 years of Product Management experience.
- Demonstrated experience delivering AI, analytics, data, or developer-focused products.
- Strong understanding of Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and conversational interfaces.
- Experience defining product strategy, roadmaps, and outcome-based success metrics.
- Strong stakeholder management and cross-functional leadership skills.
- Experience working with engineering, machine learning, user experience, and business teams.
- Excellent written, verbal, presentation, and storytelling skills.
Preferred
- Experience launching enterprise AI or Generative AI products at scale.
- Experience with cloud platforms such as Azure, Google Cloud Platform (GCP), or AWS.
- Familiarity with enterprise data platforms, analytics ecosystems, and knowledge management solutions.
- Experience defining evaluation frameworks for AI quality, trust, and model performance.
- Prior experience in developer productivity, internal platforms, or enterprise tooling products.
- MBA or advanced degree in a related discipline.
#LI-SKV
-
Built on one bold idea and the passion to define sustainable transportation for generations to come, Ford is a story about people with a vision that’s still being written.
What We Do -
Ford’s culture fuels the kind of momentum where ideas flow, progress is unstoppable, and our people keep redefining what it means to innovate.
Our People and Culture -
At Ford, your work matters, your life matters and we’re here to back the whole you—from growth to well-being—so you show up ready to realize your full potential.
Your Benefits
Jobs For You.
Explore roles tailored to your interests, based on your preferences and experience.
-
Product Manager, Generative AI & Analytics
- Chennai, India
-
Team Member Level 2
- Coimbatore, India
-
Applicant Architect
- Chennai, India
-
SAP BODS Developer
- Chennai, India