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.
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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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- Pet Insurance
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- Adoption Leave
Work Flexibility
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Pension
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Access to Online Courses
- Lunch and Learns
- Internship Program
- Leadership Training Program
- Associate or Rotational Training Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
- Woman founded/led
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