Group Product Manager - Personalization

About Albertsons:

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. (ACI) operates over 2,200 stores across 34 states and the District of Columbia. Our well-known global banners, including Albertsons, Safeway, Vons, Jewel-Osco and others. Our success is built upon a united team approach, driven by the desire to understand and enhance the customer experience. This customer-centric focus not only inspires innovation but has also led to remarkable achievements across our digital platforms and omnichannel strategies. By constantly pushing the boundaries of retail, we have transformed shopping into an experience that is not just easy and efficient, but also fun and engaging. Over the past year, we have taken bold, strategic steps to migrate and modernize our enterprise data hub on Google Cloud, revolutionizing our data capabilities, thus becoming the first fully cloud-based grocery tech company.

About Tech Hub in India:

Albertsons Companies India (ACI India) is part of Albertsons Companies Inc. global workforce. As Albertsons first significant strategic investment in India, it serves as a collaborative hub, supporting Albertsons in driving innovation and efficiency across Technology, Digital, and other key business functions. The employees at the India GCC will play a pivotal role in enhancing the company's digital transformation, customer engagement, and operational excellence.

The Group Product Manager -Personalization will be responsible for owning and defining the end-to-end personalization strategy across channels (e-commerce and store), in collaboration with business and technology counterparts. This role will lead cross-functional initiatives to develop scalable, data-driven personalization capabilities spanning content, deals and offers, recommendations and search/browse experiences. The role will focus on driving customer engagement, basket growth, and retention. The ideal candidate will have strong business acumen coupled with a deep understanding of customer behaviour, digital marketing, and data science/ML driven decisioning. The role involves both strategic roadmap ownership and hands-on delivery, partnering across multiple teams such as; Data Science, Engineering, and Design teams to build and scale personalization across web, app, and other customer touchpoints. This role also carries people leadership responsibility, managing and developing a team of Product Managers.

Responsibilities:

• Lead, manage, and grow a team of Product Managers and Associate Product Managers — including hiring, performance management, career development, and goal-setting fostering a high performance collaborative team culture
• Providing mentoring and direction to Product teams to define the personalization product vision, strategy, roadmap aligned to enterprise growth and customer experience goals
• Partner with Data Science and ML Engineering teams to define, build, and productions decisioning models
• Monitor customer feedback, engagement metrics, industry trends, and competitive landscape to continuously improve personalization experiences
• Highly data oriented with a keen eye on OKRs (CTR, conversion, basket size, retention, incrementality) and make data-driven decisions to iterate and scale
• Coordinate with Product, UX, Engineering and Program Management across geographies/teams to ensure timely, high-quality execution
• Ensure personalization initiatives comply with data privacy, legal, and ethical standards
• Writing and reviewing PRDs and user stories
• Partner with UX/Product Design to create intuitive, relevant, and non-intrusive personalized interfaces
• Mentor Product Managers and Associate Product Managers within the personalization team.

Experience Required:

• Demonstrated experience directly managing and developing Product Managers or other direct reports, including performance reviews, coaching, and career growth planning
• 12-16 years of product management experience, preferably in consumer marketplaces.
• Experience in launching and optimizing digital products at scale
• Analytical mindset with experience in A/B testing, user research, and data-driven
• decision-making
• Experience partnering with Data Science/ML teams on recommendation systems, ranking models, or decisioning engines
• Strong leadership and stakeholder management skills, especially in a global team environment.