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Posted 01 July, 2026

Data Lead - Customer

VARITE INDIA PRIVATE LIMITED
Bangalore, Karnataka, IN Full Time
Reference: 26-35561-2522-2

Company Name: VARITE India Private Limited

About The Client:

A British multinational alcoholic beverage company with its headquarters in London, England. It operates from 132 sites around the world. It is a major distributor of Scotch whisky and other spirits. Distilleries owned by Client produce 40% of all Scotch whisky with over 24 brands.

About The Job:
  • The Data Lead will own end-to-end data responsibilities for commercial analytical products, ensuring that data is trusted, governed, AI-ready, and fit for business decision-making.
  • The role will sit at the intersection of business, product, governance, engineering, and architecture teams, driving the build, sourcing, quality, validation, and adoption of commercial data products across markets.
Essential Job Functions:
Own End-to-End Commercial Data Delivery
  • Lead data delivery across discovery, sourcing, design, profiling, quality checks, UAT, release, and adoption for commercial analytical products.
  • Ensure data is scalable, reliable, governed, and aligned to business and product priorities.
Drive Commercial Data Value
  • Partner with business and market teams to translate commercial problems into data requirements, analytics use cases, and measurable outcomes.
  • Demonstrating customer data in AI/ ML to support better business decision-making.
Lead KPI Ownership and Governance
  • Drive ownership, definition, validation, and governance of key commercial KPIs across markets and products.
  • Ensure consistent KPI logic, business rules, calculation methods, and usage across dashboards, analytics, and AI use cases.
  • Relevant KPI areas include EPOS, Depletions, Retail Sales, Stock in Trade, Trade Investment, outlet segmentation
Establish Data Management Practices
  • Implement robust data management practices across data quality, metadata, lineage, ownership, controls, and issue management.
  • Define data quality rules, thresholds, remediation processes, and governance routines for commercial data.
  • Drive clear market ownership for source data quality, completeness, timeliness, and business validation.
Ensure Data Readiness for AI Use Cases
  • Ensure commercial data is fit for AI, advanced analytics, and automated decision-support use cases. Define what is required for data to be AI-ready, including clear ownership, trusted sources, consistent KPI definitions, metadata, lineage, data quality rules, usage controls, and documented business logic.
  • Support AI data governance by ensuring data inputs, assumptions, transformations, and outputs are traceable, explainable, and validated.
Lead UAT and Output Validation
  • Own data UAT planning and execution, including test scenarios, test cases, acceptance criteria, reconciliation, defect management, and business sign-off.
  • Validate datasets, KPI calculations, dashboards, analytical outputs, and AI-generated outputs against source data, business rules, and market expectations.
Lead Cross-Functional Collaboration
  • Act as the extension between business and technology teams, translating business needs into data requirements and technical delivery plans.
  • Influence stakeholders across markets, product, governance, engineering, architecture, finance, and commercial teams to align on priorities, decisions, and ownership.
Qualifications:
  • Graduate, preferably with 8 years of Data experience
  • Strong understanding of data management principles, including data quality, metadata, lineage, ownership, governance, controls, and issue management.
  • Experience implementing data quality frameworks, validation rules, KPI governance, and business data ownership models.
  • In-depth understanding of customer data sources that fosters into RGM , Pricing, Promo solutions.
  • Experience leading the build of AI-ready data foundations
  • Ability to validate AI outputs using test cases, reconciliation, exception analysis, business reasonableness checks, and partners sign-off.
  • Strong ability to structure work packages, define deliverables, assign ownership, track progress, manage risks, and raise issues.
  • Experience leading data UAT, including test case creation, test execution, defect tracking, retesting, and sign-off.
  • Strong partner engagement and influencing skills across business, market, product, governance, engineering, architecture, and finance teams.
  • Ability to explain complex data topics clearly, align stakeholders, and drive decisions.
  • Strong working knowledge of SQL, PySpark, Python, Power BI, and Excel.
  • Good understanding of data platforms, data pipelines, data models, reporting layers, source-to-target mapping, and analytical product architecture.

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:
0-2 years INR 5,000
2-6 years INR 7,500
6+ years INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

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