Senior Manager Data Insight Analytics

About Albertsons Companies Inc.:

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons Companies India:

At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the companys technology journey to support millions of customers lives every day.

At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.

About the Role:

As part of our continued investment in building a global analytics and insights capability, Albertsons Companies is expanding our Strategy & Analytics team with an offshore hub in Bangalore, India. This role will serve as the offshore team lead, supporting our fast-growing eCommerce business by delivering data-driven insights, building machine learning models, enabling end-to-end analytics pipelines, and scaling self-serve dashboards for our business partners in the U.S.
The Sr. Manager will be responsible for managing a team of Sr.

Analysts in Bangalore and will serve as the primary point of contact for coordination with onshore counterparts in the U.S. This is an exciting opportunity to help shape a world-class analytics center of excellence and drive measurable impact across the business.

Key Responsibilities:

Team Leadership & Management:

• Lead, mentor and grow a high performing team of Data Analysts and Senior Data Analysts fostering a culture of curiosity, rigor and continuous improvement.
• Set clear goals and priorities for the team, ensuring alignment with broader organizational objectives.
• Establish best practices for data analysis, reporting standards, and quality assurance across the team.
• Own the end-to-end delivery of analytical projects from scoping and data gathering through to insight generation and executive presentation.
• Develop and maintain dashboards, reports, and data models that provide ongoing visibility into key performance indicators (KPIs) and business trends.
• Identify opportunities to proactively surface insights that drive competitive advantage and operational efficiency.
• Partner closely with senior leaders across products and functions to understand their analytical needs and deliver timely, relevant insights.
• Translate ambiguous business questions into well-defined analytical frameworks and communicate findings in a clear, compelling manner to both technical and non-technical audiences.
• Present recommendations and findings to executive leadership, influencing strategic decisions with data-driven evidence.
• Collaborate with Data Engineering to ensure data integrity and accessibility
• Champion data literacy across the organization by developing training resources and promoting a data-informed culture.

Advanced Analytics & AI/ML Modeling:

• Build and deploy predictive models and machine learning solutions (e.g., churn, LTV, segmentation, recommendations) using Python/R, leveraging internal and external data sources to drive personalized and scalable eCommerce experiences.

Data Engineering & Automation Pipelines:

• Collaborate with Data Engineering to design, test, and implement robust data pipelines and model execution workflows (e.g., using Databricks, Airflow) to enable continuous model scoring and insights delivery.

Business Intelligence & Dashboarding:

• Develop and maintain scalable dashboards and self-serve BI tools (e.g., Tableau, Power BI) to track key eCommerce KPIs such as sales, conversion, customer retention, and site performance metrics.

Offshore-Onshore Collaboration:

• Serve as the primary liaison between the Bangalore team and the U.S.-based Strategy & Analytics team. Join regular syncs, translate business needs into project plans, communicate progress and blockers, and ensure alignment across time zones.

Insight Generation

• Analyze customer behavior, shopping journeys, and campaign performance to uncover insights and support strategic recommendations, working with structured and unstructured datasets.

Test & Learn Support

• Design and analyze A/B and multivariate tests in partnership with product and marketing teams. Support the rollout of learnings from experiments.

Data Governance & Quality Checks:

• Establish data validation practices within the team and ensure consistency and accuracy in all analytics deliverables.

Qualifications:

• Bachelors or Masters degree in a quantitative field such as Computer Science, Statistics, Data Science, Applied Analytics, or a related discipline.
• 12+ years of experience in analytics, data science, or a related field, including 2+ years leading and developing offshore analytics teams;
• Advanced proficiency in SQL and Python (including pandas, scikit-learn, and statsmodels) with hands-on experience analyzing large-scale datasets in cloud data platforms such as Snowflake, Databricks, or similar environments.
• Proven experience developing, deploying, and maintaining machine learning models, statistical models, and analytics pipelines.
• Strong expertise in statistical and predictive modeling, including time-series forecasting, clustering, feature engineering, optimization, and model evaluation.
• Deep knowledge of marketing and eCommerce analytics, including attribution modeling, marketing mix modeling (MMM) / incrementality testing, and campaign performance measurement.
• Demonstrated ability to translate complex data analyses into actionable business insights and strategic recommendations for senior leadership.
• Experience presenting analytical findings and influencing executive-level decision-making.
• Proficiency with data visualization and dashboarding tools such as Tableau or Power BI.
• Excellent communication and stakeholder management skills, with the ability to collaborate effectively across global teams and time zones.
• Strong leadership, coaching, and talent development capabilities, with a collaborative and customer-focused mindset.
• eCommerce or retail industry experience preferred.