Senior Manager - Analytics Product Owner

We are seeking an experienced and execution-focused Analytics Product Owner to lead Growth Analytics initiatives across Sales and Marketing.

The role will be responsible for end-to-end ownership of analytics products, from shaping business problems and designing solutions to managing delivery, vendors, and adoption

Context/Scope: We have a robust Data Lakehouse platform integrating data from multiple internal and external systems to enable analytics across functions. This role will focus on building high-impact analytics and AI-driven solutions for Growth functions (Sales & Marketing). The individual will work closely with business stakeholders, data engineering, data science, and external partners to design, deliver, and scale analytics products that drive revenue growth and decision making effectiveness. The role operates in a complex environment with fragmented data sources, evolving business needs, and increasing opportunities to leverage advanced analytics, Gen AI, and automation.

Purpose of Position : We are seeking an experienced and execution-focused Analytics Product Owner to lead Growth Analytics initiatives across Sales and Marketing. The role will be responsible for end-to-end ownership of analytics products, from shaping business problems and designing solutions to managing delivery, vendors, and adoption. The ideal candidate will combine strong business understanding, analytics expertise, and delivery management capabilities, ensuring high-quality, scalable solutions are delivered on time and within budget.

Qualifications and Experience Required :

Qualifications - Bachelor’s degree in Engineering MBA or equivalent preferred, but not mandatory Experience:

• 8–12 years in analytics, business intelligence, or product ownership roles Strong experience in Sales / Commercial / Marketing analytics
• Proven experience delivering end-to end analytics solutions
• Experience managing vendor-led delivery models
• Experience managing budgets, contracts, and cost optimisation
• Exposure to Gen-AI / advanced analytics use cases

Technical Skills:

• Strong hands-on expertise in Power BI (data modelling, UX, performance.)

• Understanding of modern data platforms (Azure, Databricks, Data Lakehouse) • Familiarity with Agile tools (Azure DevOps).

• Working knowledge of AI/ML and Gen-AI use cases (preferred) Preferred Attributes.

• Strong problem-solving and analytical thinking.

• Excellent communication and stakeholder management skills

• Ability to operate in ambiguity and bring structure

• Strong ownership mindset with focus on delivery outcomes.

• Curiosity and willingness to explore new technologies and approaches

Nice to Have

• Prior experience in Alco-beverage industry (strongly preferred)

• Experience in Growth Analytics within Indian market context

• FMCG / Consumer Goods background

• Exposure to distributor analytics, route to-market, pricing, or marketing ROI

• Experience working with partners like Microsoft, Databricks, or analytics vendors.
 

Diversity statement

Celebrating our inclusive and diverse culture is core to Diageo’s purpose of “celebrating life every day everywhere”. This purpose is, in itself, inclusive in nature, as it values everybody irrespective of background, disability, religion, gender identity, sexuality or ethnicity.

We know that for our business to thrive and for Diageo to realize its ambition, we depend on having diverse talent with a range of backgrounds, skills, and capabilities in each of the 180 countries in which we operate and to reflect our broad consumer base. We view diversity as one of the key enablers that helps our business to grow and our values, purpose and standards set the conditions for us to respect the unique contribution each person brings.