Job Description

About Albertsons Companies India
Albertsons Companies is a leading food and drug retailer in the United States. As of February 22, 2025, the Company operated 2,270 retail stores with 1,728 in-store pharmacies, 405 associated fuel centers, 22 dedicated distribution centers and 19 manufacturing facilities. Albertsons Companies India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company & technology journey to support millions of customers & lives every day.

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Position Title: Director Digital Analytics
Roles & Responsibilities:

• Define the long-term analytics strategy and roadmap for digital experiences, shopper behavior, experimentation, and self-service BI.
• Connect analytics priorities to enterprise goals, ensuring alignment with product, engineering, marketing, and customer experience strategies.
• Advocate for behavioral insights, experimentation, and data-driven decision-making at the executive level.
• Anticipate future analytical needs, technology trends, and data capabilities; lead transformation initiatives to elevate analytics maturity.
• Create and maintain a team structure that aligns with business strategy and evolving digital priorities.
• Foster a culture of accountability, innovation, and continuous learning.
• Attract and retain top analytics talent in a high-growth, global environment.
• Partner with data engineering, machine learning, and platform teams to define scalable data architecture, measurement frameworks, and analytical tooling. Champion a culture of experimentation across teamsdriving A/B testing, multivariate testing, and cohort analysisand partner closely with ML teams to refine experimentation methodologies, evaluate model performance, and implement corrective feature adjustments that maximize customer and business impact.
• Drive enterprise-wide adoption of modern analytics capabilities including advanced BI, experimentation platforms, and behavioral analytics tools (e.g., Adobe, Amplitude).
• Identify unmet data and capability needs and ensure timely resolution through cross-functional collaboration.
• Lead analytics efforts that influence digital product strategy and shopper experience, including funnel performance, personalization, content effectiveness, and friction detection.
• Ensure delivery of high-quality insights, dashboards, experimentation results, and strategic recommendations to senior leadership.
• Establish enterprise KPI frameworks, success metrics, and unified measurement standards across digital channels.
• Drive adoption of test-and-learn methodologies and promote a culture of measurable, evidence-based decision-making.
• Communicate complex analytical outcomes in a clear, succinct, and strategic manner to executive audiences.
• Build strong partnerships across product, UX, engineering, operations, marketing, and data science.
• Shape experience strategy by connecting behavioral analytics to customer outcomes and business opportunities.
• Represent analytics in senior forums, influencing decisions with data storytelling and strategic insight.

Experience Required:

• 15+ years of experience in digital analytics, product analytics, customer insights, or data strategy, ideally in e-commerce, retail, grocery, or large-scale consumer digital products.
• Proven experience leading multiple analytics functions at scale.
• Track record of defining analytics strategy, driving transformation, and partnering with engineering on scalable data architecture.
• Deep experience with digital measurement tools (e.g., Adobe, Google Analytics), BI platforms, experimentation frameworks, and behavioral analytics. Expert-level proficiency in SQL and familiarity with Python/R.
• Strong executive communication skills, with the ability to influence senior stakeholders and translate analytics into strategic outcomes.
• Experience establishing enterprise KPIs, success metrics, and measurement standards.

Skills Required:

• Leadership of cross-functional analytics teams
• Data strategy, KPI definition, measurement frameworks
• Digital analytics, behavioral analysis, experimentation
• Modern BI and dashboarding tools
• Data storytelling and executive communication
• Experience with large-scale data environments and cloud ecosystems

Skills Required