JOB OPPORTUNITY:

SENIOR PRODUCT MANAGER
SUPPLY CHAIN

PRODUCT MANAGEMENT: BANGALURU, IN

Albertsons Companies is accelerating its Supply Chain transformation through AI-driven forecasting, replenishment, and autonomous decisioning. As we evolve toward an Agentic Supply Chain platform, we are building the foundational semantic and knowledge layers that allow AI agents to reason, explain, and take action across complex demand and replenishment workflows.

We are seeking aSenior Product Manager AI Data Productsto lead the strategy and execution of oursemantic layer / knowledge graph capabilitiesthat power AI agents across Demand Planning, Replenishment Buying, and Inventory Optimization.

This is a high-impact role based in our Global Capability Center (GCC), partnering with US-based Product, Engineering, and Data Science teams.

If you are passionate about building AI-native platforms not just models, but the data intelligence layer that makes them work this role is for you.

Position Purpose:

As a Senior Product Manager for AI Data Products, you will own the product vision and roadmap for building thesemantic layer, ontology frameworks, and knowledge mapping systemsthat enable AI agents to operate effectively across supply chain workflows.

You will define how business concepts such as demand signals, forecast overrides, promotional lifts, safety stock policies, perpetual inventory adjustments, and replenishment constraints are modeled, connected, and exposed to AI systems in a structured, explainable, and scalable way.

This role requires a unique blend of:

- Product leadership
- Data architecture fluency
- AI/ML platform understanding
- Supply chain domain depth
- Strong stakeholder influence across global teams

If you are looking to play a part in a major Supply Chain transformation that will revolutionize online grocery shopping, Come join us!

Key Responsibilities include, but are not limited to:

Own the AI Semantic & Knowledge Layer Vision:

- Define and drive the product strategy for supply chain semantic models and knowledge graphs, translating complex demand and replenishment workflows into structured, scalable,



AI-consumable business context.

Enable AI Agents with Structured Context:

- Design the abstraction layer that connects enterprise systems and business logic, enabling AI agents to access structured data, reason over decisions, and deliver explainable recommendations.

Partner with Data Science & Engineering:

- Collaborate closely with Data Science and Engineering to align ontology design, feature definitions, and metadata models, ensuring scalable architecture and seamless integration into AI workflows.

Translate Supply Chain Domain into Structured Knowledge:

- Convert demand planning, forecast overrides, inventory policies, and replenishment constraints into standardized entities and relationships that reduce ambiguity and support consistent AI-driven decision-making.

Build Explainability & Trust Frameworks:

- Establish product capabilities that surface contextual reasoning, lineage, and governance controls so AI-generated insights are transparent, auditable, and trusted by planners and buyers.

Drive Strategic Roadmapping & Execution:

- Own a multi-quarter roadmap for semantic and knowledge capabilities, defining clear requirements and delivering incremental value through structured releases aligned to supply chain priorities.

Lead Cross-Functional Alignment:

- Partner across Supply Chain, Product, Engineering, and Architecture teams globally to align business definitions, resolve ambiguity, and accelerate adoption of AI-powered decision platforms.

Qualifications:

Required:

- Bachelors degree in Engineering, Computer Science, Data Science, or related field.
- 7+ years of Product Management experience.
- 3+ years building data platforms, ML-enabled products, or AI-native systems.
- Experience working with:
- Semantic layers, ontologies,



or knowledge graphs
- Data modeling and metadata management
- API-based data access layers

- Robust SQL and data analytics fluency.
- Experience partnering closely with Data Science and Engineering teams.
- Experience operating in complex, ambiguous enterprise environments.

Highly Desirable:

- Supply Chain, Demand Planning, Replenishment, or Inventory domain expertise.
- Experience with Blue Yonder (JDA), ERP, or retail replenishment systems.
- Exposure to LLM-powered systems or agent frameworks.
- Experience building explainable AI systems.
- Knowledge of data cataloging and governance frameworks.

Additional Skills:

- Strong systems thinker with ability to abstract business processes into structured knowledge.
- Ability to influence without authority across global teams.
- Excellent written and verbal communication skills.
- Comfortable working across time zones (USGCC collaboration).
- Strong bias toward structured thinking and scalable design.

How to Apply:

- Interested candidates are encouraged to submit a resume by visitinghttps://www.albertsonscompanies.com/careers/en/home.html
- Diversity is fundamental at Albertsons Companies. We foster an inclusive working environment where the different strengths and perspectives of each employee is both recognized and valued. We believe that building successful relationships with our customers and our communities is only possible through the diversity of our people. A diverse workforce leads to better teamwork and creative thinking, as well as mutual understanding and respect.
- The Albertsons Companies policy is to provide employment, training, compensation, promotion and other conditions of employment without regard to race, color, religion, sexual orientation, gender identity, national origin, sex, age, disability, veteran status, medical condition, marital status or any other legally protected status.
- We support a drug-free workplace all applicants offered a position are required to pass a pre-employment drug test before they are hired.

AN EQUAL OPPORTUNITY EMPLOYER.

📌 Senior Digital Product Manager (Bengaluru)
🏢 Albertsons Companies India
📍 Bengaluru