Director Digital Product Management

We are seeking astrategic, data-savvy product leader who can connect business outcomes with technical execution for In-Store Execution initiatives. This role requires strong product judgment, comfort operating in ambiguity, and the ability to influence at scale across people, processes, and technology.

The ideal candidate is an ambitious leader with a proven track record of delivering platforms that create measurable business impact and exceptional value for store teams and customers.

Role Overview:

We are looking for a Director of Product Management In-Store Digitalization to lead a global product organization responsible for building and scaling platforms that power store-level execution, operational excellence, and real-time decision-making across Albertsons Companies.

This is a high-impact senior leadership role reporting directly to the VP of Product. You will define long-term product strategy, lead multi-year roadmaps, and partner closely with Technology, Data Science, Operations, Digital, and external partners .

The role is based in Bengaluru, India , leading cross-functional teams across the US and India .

Product Areas Owned

The Director will own and evolve platforms supporting:

• In-Store Digitalization Platforms Tools and systems that enable consistent execution of Inventory management tools, pricing, promotions, labor, and operational workflows at store level.
• Operational Insights & Analytics Data platforms and reporting capabilities that provide actionable insights to store operators and field teams.
• Execution Intelligence & Automation Leveraging AI/ML and agentic workflows to improve task prioritization, compliance, and execution efficiency across stores.
• Enterprise Integrations Ensuring seamless integration with merchandising, supply chain, labor, and fulfillment systems across the Albertsons ecosystem.

Key Responsibilities:

Key responsibilities include, but are not limited to:

Product Strategy & Vision:

• Define and own the multi-year product vision and strategy for In-Store Execution platforms.
• Develop and maintain multi-quarter roadmaps aligned to business priorities, customer needs, and operational outcomes.
• Identify opportunities to simplify, standardize, and scale store execution through technology.

Data-Driven Decision Making:

• Analyze large datasets to uncover insights that drive product decisions and operational improvements.
• Present clear, compelling narratives and visualizations to influence senior leadership and executive stakeholders.

Execution & Operational Excellence:

• Ensure product delivery through well-defined epics, user stories, and acceptance criteria .
• Account for dependencies across systems, teams, and initiatives.
• Drive predictable delivery while balancing speed, quality, and scalability.

Cross-Functional Leadership:

• Partner closely with Engineering, Data Science, Operations, Merchandising, Digital, and Store Operations.
• Align multiple stakeholders around shared goals and measurable outcomes.
• Operate effectively in ambiguous problem spaces and translate them into actionable initiatives.

Collaboration with Data Science & Engineering:

• Work with Data Science teams to build, test, and optimize AI/ML models supporting execution efficiency, labor optimization, and store performance.
• Champion platform thinking, reusability, and long-term architectural health.

People Leadership:

• Build, mentor, and develop high-performing product teams across geographies.
• Foster a culture of accountability, innovation, and continuous learning.

Experience:

• Bachelors degree in engineering, Business, or a related field.
• Masters in engineering or MBA
• 5-10 years of experience in Product Management, with leadership experience managing product teams.
• Strong analytical skills with proficiency in SQL and data analysis.
• Proven experience delivering enterprise-scale platforms in complex environments.

Consulting Experience:

Great To Have:

• Consulting experience.
• Exposure to large-scale digital transformation initiatives.
• Experience partnering with Data Science teams to develop and operationalize models.
• Demonstrated success delivering results in ambiguous environments

Competencies:

• Compassionate and kind, showing courtesy, dignity, and respect. They show sincere interest and empathy for all others.
• Foster innovation through creativity to get to a workable solution. Use analytical thinking through issues using logic and reason
• Show integrity in what is done and how it is done - without sacrificing personal/business ethics.
• Embrace an inclusion-focused mindset, seeking input from others on their work and encouraging the open expression of diverse ideas and opinions
• Team-oriented, positively contributing to team morale and willing to help.
• Learning-Focused, finding ways to improvise in their field and use positive constructive feedback to grow personally and professionally
• Think strategically and proactively anticipate future problems, needs or changes in the work
• Retail Domain Experience is required
• Experienced in mentoring development teams
• Hands-on experience in production environments with an SRE (Site Reliability Engineering) mindset
• Proficient in design patterns and architectural skills, with a proven track record of delivering large-scale initiatives while managing multiple parallel projects effectively

Skills Required:

• Product Management, Agile methodologies
• Experience in demand planning, labor planning, fulfillment, or slot management systems.
• Retail, eCommerce, or supply chain experience.

Additional Skills:

• Exceptional ability to operate as a team player and build strong relationships across teams.
• Demonstrated ability to influence stakeholders and communicate complex ideas effectively.
• Passionate about solving customer problems and delivering great products.