Director Digital Analytics
Albertsons Companies India
5 - 10 years
Bengaluru
Posted: 31/01/2026
Job Description
Position Title: Director, Digital Analytics
Role Overview:
We are seeking a Director of Digital Analytics to establish and lead the analytics and insights capability for our India GCC. This role will shape the future of how data, AI, and scalable automation power customer-centric decision-making across Albertsons digital ecosystem including personalization, ecommerce, loyalty, and marketing.
You will build and lead a world-class team that develops modern BI solutions, advanced analytics models, and agentic AI tools all designed to deliver measurable impact at scale.
Job Description:
Key Responsibilities:
Strategic Leadership & Organization Building
- Build and lead the Analytics & Insights organization within the GCC, including hiring, mentorship, and career development for analysts, data scientists, and engineers.
- Define the strategic vision, operating model, and success metrics for analytics delivery from India, ensuring alignment with global digital priorities.
- Foster a culture of innovation, data curiosity, and experimentation, enabling the team to contribute to both delivery and R&D initiatives in AI and analytics.
Analytics, Insights & Business Intelligence
- Develop and oversee enterprise-scale reporting and BI frameworks to track performance across customer engagement, marketing effectiveness, fulfillment, and loyalty.
- Lead the creation of advanced analytics and predictive models for personalization, churn, retention, offer optimization, and operational performance.
- Drive data democratization by building self-service analytics tools and automated dashboards for global stakeholders.
- Champion data storytelling turning complex data into clear, actionable insights for senior leaders and business partners.
AI, Agentic Automation & Decision Intelligence
- Lead the design and deployment of agentic AI solutions that deliver autonomous insights and decision recommendations.
- Partner with AI engineering teams to implement LLM-based analytics copilots for marketers, product managers, and operators.
- Scale the use of predictive and generative AI for campaign targeting, dynamic personalization, and fulfillment optimization.
- Build reusable AI components and APIs that integrate with enterprise platforms and decision workflows.
Data Infrastructure, Engineering & Scalability
- Collaborate with data platform teams to ensure modern, scalable, cloud-based analytics architecture (Snowflake, Databricks, dbt, Airflow, Power BI/Tableau).
- Oversee the design of data models and pipelines supporting marketing, ecommerce, and customer analytics use cases.
- Define data quality, governance, and lineage standards to ensure accuracy and consistency across global datasets.
- Partner with enterprise data teams to evolve shared capabilities in data access, observability, and platform reliability.
Global Collaboration & Stakeholder Partnership
- Serve as a strategic analytics partner to digital, marketing, and ecommerce leaders across the US and India.
- Translate business needs into analytics and automation opportunities that drive measurable ROI.
- Influence senior stakeholders with thought leadership on AI adoption, measurement frameworks, and customer data strategy.
- Represent the GCC as a center of excellence for insights, innovation, and scalable analytics delivery.
Qualifications:
Experience:
- 15+ years of experience in analytics, BI, or data science with at least 5+ years in leadership roles building global or GCC-based teams.
- Demonstrated success in scaling analytics capabilities that support digital, marketing, or customer-focused businesses.
- Hands-on experience delivering AI/ML-driven insights, reporting modernization, and data platform evolution.
- Proven ability to operate in a matrixed global organization, influencing strategy and execution.
Skills:
- Deep knowledge of modern analytics and data platforms (Snowflake, Databricks, Power BI/Tableau, Python, SQL).
- Exposure to agentic AI frameworks or LLM applications in analytics workflows.
- Strong understanding of customer analytics, marketing performance, and loyalty measurement.
- Exceptional leadership, communication, and stakeholder management skills.
- Strategic mindset with a track record of balancing delivery with innovation and capability building.
Preferred:
- Experience in retail, ecommerce, or customer analytics environments.
Familiarity with marketing and personalization ecosystems (e.g., Adobe, Salesforce, Google Cloud).
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