Job
Description
Role Overview: As the Director of Digital Analytics at Albertsons Companies India, your main responsibility will be to establish and lead the analytics and insights capability for the India GCC. You will play a crucial role in shaping the future of data-driven decision-making across Albertsons" digital ecosystem, focusing on areas such as personalization, ecommerce, loyalty, and marketing. Your leadership will involve building a high-performing team that develops innovative BI solutions, advanced analytics models, and AI tools to drive measurable impact at scale. 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 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, translating 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).,
