Sr Director Data & Analytics

Job Title: Sr. Director Data & Analytics-

Location: Bangalore, India

Role Purpose:

This role will lead the Data, Analytics and AI agenda for CBBS & CBSOs, driving enterprise-wide impact by evolving current analytics capabilities into scalable, insight-driven and AI-enabled decision frameworks.

The role will build on existing strengths in reporting, customer analytics and data science, and elevate the function

towards advanced analytics, automation, and AI led value creation.

The role will work in conjunction with the leadership to drive and develop solutions in a dynamic environment requiring synthesis of large datasets, visualization, and insights to broad audiences utilizing advanced analytics and cognitive computing to unlock

measurable incremental revenue and have demonstrated success in using these methodologies to drive exponential

business results.

As an AI enablement leader, this role will work in conjunction with AI CoE and will dotted line report to Head of AI.

The role partners closely with business and global stakeholders to ensure data is translated into measurable business outcomes.

Core responsibilities:

1. Strategy & Evolution of Analytics Capability

• Act as an AI enablement leader

• Design the strategy & road map for Analytics capabilities for CBBS & CBSOs

• Define the roadmap to evolve current analytics capabilities (reporting, dashboards, customer

analytics) into advanced analytics and AI-driven decision systems

• Identify gaps in current capabilities and build scalable solutions across data, tools and talent

• Drive transition from reactive reporting → proactive and predictive insights

• Create an Analytics enablement, engagement & education roadmap for CBBS & CBSOs

2. AI & Advanced Analytics Adoption

• Introduce and scale predictive, prescriptive and AI driven use cases across business functions

• Build frameworks to identify, pilot and scale AI initiatives with clear ROI tracking

• Enable shift from manual analysis → automated and intelligent decision systems

3. Business Impact & Value Creation

• Define & design the partnership model with businesses to ensure speed and efficiency in designing cutting edge business impact solutions

• Translate analytics outputs (customer insights, dashboards, forecasts) into business actions and

measurable outcomes

• Partner with business leaders to embed analytics into core decision making processes

• Drive accountability for value realization (revenue, cost, efficiency, customer impact)

4. Data Governance & Operating Model

• Establish clear prioritization, intake and governance mechanisms for analytics demand

• Drive evolution from data → insights → decisions across the organization

• Build scalable processes for data democratization and self-service analytics

• Ensure consistency and scalability across:

o Customer analytics

o Performance reporting

o Forecasting and modeling

o CBSO related reporting & analytics

• Drive standardization of metrics, definitions and reporting frameworks

5. Team Leadership & Capability Building

• Build and lead a high performing team across data science, analytics and reporting functions

• Build capability beyond current skillsets into:

o Advanced modeling

o AI/ML

o Business storytelling

• Strengthen leadership bench and define clear role charters across layers

6. Execution Oversight

• Oversee delivery of high quality analytics and AI solutions at scale

• Provide oversight on delivery of:

o Customer analytics (loyalty, promotions, basket analysis)

o Forecasting and predictive models

o Enterprise dashboards and reporting

o CBSO requirements

• Ensure delivery is aligned to business priorities, not just output generation

Experience and Skills

• 17+ years of progressive experience across data analytics, data science, or business analytics, with at least

5–7 years in leadership roles

• Proven experience in building and scaling analytics functions in a complex, matrixed organization

• Strong background in customer analytics, commercial analytics, or retail/e-commerce analytics (preferred

given business context)

• Demonstrated ability to translate business problems into analytical solutions and measurable outcomes

• Experience in leading end-to-end analytics lifecycle:

o Problem definition

o Data extraction

o Modeling

o Insight generation

o Business adoption

• Exposure to predictive analytics, forecasting, experimentation frameworks (A/B testing)

• Experience working with global stakeholders and cross-functional teams (Tech, Finance, Ops, Product)

• Prior experience in driving transformation initiatives (automation, analytics maturity, or AI adoption) is

highly preferred