AI/Analytics Product Manager

Ford·Chennai·Onsite

Product ManagerAISaaS

Experience

Not specified

Employment

Full Time

Work mode

Onsite

Level

Product Manager

Location

Chennai

Posted

Yesterday

About the role

Required Skills

Product Management

Experience managing AI, Analytics, or Data products throughout the product lifecycle.

Strong product strategy, roadmap planning, prioritization, stakeholder management, and execution skills.

Experience translating business requirements into product features and technical capabilities.

Strong understanding of customer-centric product development and outcome-based delivery.

Experience defining KPIs, OKRs, success metrics, and product analytics.

Agile Delivery

Hands-on experience with Agile/Scrum methodologies.

Experience managing product backlogs, user stories, sprint planning, release planning, and incremental product delivery.

Strong collaboration across cross-functional engineering, architecture, data, and business teams.

Agentic AI Generative AI

Experience designing, building, and managing autonomous AI agents, including single-agent and multi-agent systems.

Hands-on experience with agentic frameworks such as LangGraph or similar orchestration frameworks.

Knowledge of LLM orchestration, tool calling, function calling, planning, reasoning, workflow decomposition, and AI agent lifecycle management.

Experience building AI solutions using Retrieval-Augmented Generation (RAG) architectures.

Knowledge of vector databases, embeddings, semantic search, hybrid retrieval, prompt engineering, grounding strategies, and context optimization.

Experience implementing AI-powered automation, self-healing workflows, anomaly detection,

Own the end-to-end product strategy, roadmap, and execution for AI Analytics capabilities supporting the Digital Account Consent Platform.
Translate business problems into scalable AI, analytics, and data products that improve customer experience, operational efficiency, and business value.
Lead product discovery, prioritization, roadmap planning, and backlog management using Agile methodologies.
Collaborate with Engineering, Data Science, Data Engineering, Security, Privacy, UX, Architecture, and Business stakeholders to deliver enterprise-grade AI solutions.
Define product KPIs, success metrics, experimentation strategies, and continuously optimize product performance using data-driven insights.
Drive adoption of AI-powered automation, predictive analytics, and intelligent decision-making capabilities across the platform.
Ensure AI products comply with enterprise security, privacy, governance, responsible AI, and data management standards.
Stay current with emerging AI technologies and identify opportunities to accelerate innovation across Fords Digital ecosystem.

Experience with Customer Identity, Digital Account, Consent Management, Customer Data Platforms (CDP), or Customer 360 solutions.
Experience delivering enterprise AI or GenAI products at scale.
Knowledge of LLMOps, MLOps, AI observability, and production AI systems.
Familiarity with ML frameworks, fine-tuning approaches (PEFT/LoRA), and model lifecycle management.
Experience building AI-powered recommendation, personalization, search, or intelligent automation solutions.
Knowledge of enterprise architecture, cybersecurity, privacy regulations, and data governance.