AI/Analytics Product Manager

Location: Chennai, Tamil Nadu, India

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, automated root-cause analysis, and intelligent remediation capabilities.
* Understanding of Responsible AI, AI governance, model evaluation, observability, and monitoring.

Data Science & Analytics

* Strong understanding of Data Science lifecycle, statistical analysis, machine learning concepts, predictive analytics, and experimentation.
* Experience working with structured and unstructured data to derive actionable business insights.
* Knowledge of feature engineering, model evaluation, model performance monitoring, and AI/ML solution lifecycle.
* Experience partnering with Data Scientists to operationalize AI and machine learning models into production.
* Strong analytical skills with expertise in SQL, data visualization, KPI development, and business intelligence.
* Experience leveraging analytics to drive product decisions and measure business impact.

Data & Cloud Technologies

* Experience with BigQuery, SQL, cloud-native analytics platforms, and modern data architectures.
* Understanding of data pipelines, data engineering concepts, APIs, event-driven architectures, and data governance.
* Experience working on Google Cloud Platform (GCP) is preferred.
* Familiarity with MLOps, CI/CD pipelines, containerization (Docker, Kubernetes), and AI deployment best practices.

Leadership Expectations

* Strong strategic thinking with the ability to balance long-term vision and execution.
* Excellent communication and stakeholder management skills across business and technology organizations.
* Demonstrated ability to lead cross-functional teams without direct authority.
* Passion for innovation, continuous learning, and delivering measurable business outcomes through AI and analytics.
* Hands-on mindset with the ability to work closely with engineering and data science teams to shape solution architecture, validate technical approaches, and drive successful product delivery.

AI & Analytics Product Manager - Digital Account & Consent Platform, Integrated Data & Analytics (ISDA) | Global Data, Insights & Analytics (GDIA) Position Summary We are seeking an experienced AI & Analytics Product Manager to lead the vision, strategy, roadmap, and delivery of AI-driven capabilities for Ford’s Digital Account & Consent Platform. This role combines Product Management, Artificial Intelligence, Data Science, Analytics, and Cloud Engineering to build intelligent, scalable, and secure digital experiences that enable customer identity, consent, personalization, and data-driven decision making across Ford’s global ecosystem. The ideal candidate is a hands-on product leader who can define product strategy, work closely with business stakeholders and engineering teams, and leverage Agentic AI, Generative AI, Data Science, and Analytics to deliver innovative products with measurable business outcomes.