AIAnalytics Product Manager

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.

Key Responsibilities

* 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.

Preferred Qualifications

* 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.