Data Lead - Customer

Job Description : Job Title- Data Lead - Customer Context/Scope: Diageo was
invented in 1997 but our business is built on the principles and foundations
laid years before by giants of the industry – Arthur Guinness, John Walker,
Elizabeth Cumming and many more. Today, we stand on the shoulders of these
giants and,passionate abouty their ideas, philosophy and audacity, act with the
same entrepreneurial spirit and determination. Today, we are recognised as a
global leader in beverage alcohol with an outstanding collection of brands
across spirits and beer. We produce an outstanding collection of over 200 brands
– old and new, large, and small, global, and local – that are enjoyed in more
than 180 countries around the world. We are proud of the brands we make and the
enjoyment they give to millions. Our ambition is to be one of the best
performing, most trusted and respected consumer products companies in the world.
Our strategy is to support premiumisation in developed and emerging countries.
Our broad portfolio means we can access different consumer occasions with our
brands, across price points. This also enables us to build responsible drinking
trends in markets where international premium spirits are an emerging category.
To fulfil our ambition, we know that we must earn the trust and respect of
everyone we deal with. That is why our culture is rooted in a deep sense of our
purpose and values. These values underpin our business and guide how we work. We
have more than 27,775 dedicated people working together to grow our business and
nurture our brands. We are committed to their professional and personal
development and ensuring that Diageo is a great place to work. We have a diverse
and vibrant workforce. We look for people with a wide variety of personalities,
experiences, and perspectives to build a stimulating and rewarding working
environment where everyone can flourish. Diageo’s Analytics & Insights (A&I)
team is responsible for crafting, developing, and implementing analytics
products to drive what differentiates us and enable empirically based decisions.
As part of the Analytics & Insight team, you will play a role for continuing to
advance the sophistication of the power of analytics throughout Diageo. You will
serve as an evangelist for the power of data and develop analytics products to
enable decisions at Diageo. You will become an invaluable partner to your
stakeholders, help catalyse their thinking about what’s possible, identify
relevant insights from large data and metadata sources; interpret and
communicate insights and findings from analysis and experiments to drive top
line growth, personalised consumer experiences and optimises business processes.
Dimensions: Financial The role will not have direct budget responsibility but
will need to be financially aware of their responsibilities and remain budget
conscious and compliant. It will also support on preparing project budget plans
and sizing for new business as usual processes. Market Environment/ Complexity
This role has Global responsibility spanning several Global Applications, within
the context of allocated data domain of consumer, customer, vendor, product,
supply, finance, people, and systems The role will collaborate with governance
directors, process owners, business stakeholders and service delivery teams
(both internal and external). These relationships will encompass people based in
a variety of geographies, multiple cultures, languages, and time zones
Leadership Responsibilities/ Key Stakeholders: Delivering performance – move
optimally between strategy and operational detail Build Possibilities – Manage
data governance teams in the delivery of value. Influencing across a matrixed
organisation – Utilising outstanding communication, facilitation, and networking
Crafting Possibilities - Manage and educate the Data Governance team from a
functional perspective and demonstrate outstanding leadership around the Diageo
values and behaviours. Purpose of Role 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. Top Accountabilities 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 and Experience Required 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 will I succeed in this role
Ability to work in ambiguity Cultural awareness, ability to drive common,
effective change across multiple markets Virtual working ability Strong
communication skills Familiarity with the overall Diageo business landscape will
be a key enabler to success in this role Worker Type :Regular Primary
Location:Bangalore Karle Town SEZ Additional Locations : Job Posting Start Date
: 2026-04-23 With over 200 brands sold in more than 180 countries, we’re the
world’s leading premium drinks company. Every day, over 29,000 talented people
come together at Diageo to create the magic behind our much-loved brands. From
iconic names to innovative newcomers – the brands we’re building are rooted in
culture and local communities. Our ambition is to be one of the best performing,
most trusted and most respected consumer products companies in the world. Our
founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were
visionary entrepreneurs whose brilliant minds helped shape the alcohol industry.
And through our people, their legacy lives on. Join us, and you’ll collaborate
with talented people from all corners of the world. Together, you’ll innovate
and push boundaries, shaping a more inclusive and sustainable future that we can
all be proud of. With diversity at our core, we celebrate our people's unique
passions, commitments and specialist skills. Because when varied voices,
mindsets, and personalities come together, great ideas are born. In our
supportive culture, your voice will be heard and you’ll be empowered to be you.
Just bring your ambition, curiosity and ideas, and we’ll celebrate your work and
help you reach your fullest potential. DRINKiQ What's your DRINKiQ? Take our
quiz to understand how alcohol is made and explore the effects of drinking. You
can discover everything you need to know at DRINKiQ