Job Title : Data Lead - xOps Customer

Job Location: UniOps Bengaluru

PURPOSE OF THE ROLE

For Unilever to remain competitive in the future, the business needs to continue the path to become data intelligent. The Data Foundation team will persevere to make Unilever Data Intelligent; powering key decisions with data, insights, advanced analytics and AI.

The Data Foundation Data Lead role is a key enabler for the scalable and cost-efficient delivery and operations of the Global Data Lake, Data ingestion, Data Quality and Strategy. This role is also a pivotal link between the Data Foundation and the respective xOps team(s) within the organisation (Customer Development - CD).

The XOps Data Lead collaborates closely with Customer Development xOps data foundation leads to understand their specific needs and requirements around data and delivery & operations for that business domain.

The Data Lead role is a key enabler to Our ambition is toenabledemocratization of data, information and insightsasa completelyagileorganizationthat buildsfantastic careersfor our peopleand is accountablefor delivering great workthat maximizesimpactand delivers growth.

This role would require partnering with the Digital and Data Legal Counsel to ensure that our Data Defence (Privacy, Governance, Quality, etc) is well structured and sufficiently robust to use data and AI correctly throughout the enterprise. The intent is to continue the journey of data & information democratization across the business, while supporting the culture shift required for data driven decision making. Further, the purpose of this role is to lead the design of data lake across all CD datasets which is at the heart of integrated data ecosystem with the help of data lake factory delivery team. The role will also line manage several data SMEs, junior analysts and 3Ps.

This role involves coordinating, building and managing knowledge around the functional data and talent across the data SMEs, leveraging the factory model and ensuring speed and economies at scale. KPIs of the role includes efficient prioritization and allocation of data SMEs, domain specific data delivery and governance across all layers of data, cost and speed of delivery as well as resilience and cyber security compliance KPIs.

What Will Your Main Responsibilities Be

Accountable for delivering the data foundation across UDL, BDL and MDL for Customer Development
Reviews the functional and non-functional design documents to be handed over to factory teams.
Owns the data delivery timelines in the overall product build plan, ensures readiness of data and flags risks to product leadership team as required.
Leads the resolution process for any data related challenges to meet product milestones. This includes working with broader data xOPSs teams and Product delivery teams to define a clear roles and responsibilities matrix and driving that on ground.
Leads the data governance for product related data and activates it by working with broader data COE organization.
Oversee product data related functional/ non-functional design and ensure Capability Teams members of the squad develop solutions which meet the business requirements.
Builds and owns a data support model post product go live. This role acts as an escalation point for data related issues.
Works with central data quality team in data as a platform program to ensure automated checks are built for monitoring and control.
Bring the data strategy to life by working with the BDL & data factories to ensure project deliverables are appropriately costed & scheduled in-line with project expectations.
Develop and maintain strong relationships with Product xOps Leads, Product Owners and other key stakeholders to understand their data needs and priorities.
Accelerate speed to market meeting the business requirements at the most optimal cost.
Holistic platform governance, promoting standardized architecture, interoperability and cohesive integration strategies.
Platform cost optimization leveraging the rigorous data & solution continuous improvement processes.
Identify and mitigate risks related to data and analytics initiatives, ensuring compliance with relevant regulations and policies.
Secure the platform and the stored data. Make sure only the necessary users can access the data.

Experiences & Qualifications

The ideal candidate will be a seasoned data and analytics professional with deep knowledge of efficient functional delivery of data, products and solutions with a consistent, scalable infrastructure, and the right people and processes in place, enabling faster turnaround for the company's analytics needs. They will have hands on practice of delivering data within challenging organisational environments and BAU support of those solutions that is complemented by application of data management, or business information intelligence, and emerging technologies required to deliver a world class data and insights service. They will have proven commercial judgment and a nose for the money. Most importantly, the ideal candidate will enjoy rolling their sleeves up to drive towards outcomes.

Necessary Experience & Qualifications

M.B.A. or Post graduation in a relevant field (Business Analytics, Operations Research)
Overall experience of 8-10 years preferred with deep knowledge on digital analytics
Strong track record of working with senior business leadership (VPs+) to drive definition, alignment, and support for application of analytics and data to address complex business issues
Business intimacy with the trade promotion management
Working knowledge of Azure data lake related technologies
Expert in data modelling and data architecture
Proven experience in designing & landing digital analytics capabilities
Ability to drive multiple internal and external stakeholder connects while holding relevant teams accountable for commitments
Product design thinking experience to be able to translate the business requirements into a D&A product which leverages from Data & Technology to help deliver the business strategy
Exposure to creating & landing business change management
Ability to communicate complex quantitative insights in a precise and actionable manner
Ability to manage multiple products at different stages of lifecycle
Deep understanding of data landscape & data management principles Project mgmt. skills and ability to synchronize the planning & delivery of the D&A product with the delivery of the business strategy
Ability to manage multiple requests and priorities simultaneously in a highly VUCA and competitive market Agile mindset and ability to plan the D&A product roadmap via consecutive Releases which align with key business needs.

Skills

Data lifecycle management – Fully Operational
Analytical power and actionable insights generation – Working Knowledge
Data modelling and architecture – Fully operational
Azure data lake technologies – working knowledge
Multi-cloud data environments – Working Knowledge
Global CD and trade promotion management process knowledge – preferable
Business Intelligence / Data Modelling and Visualisation – working knowledge
Technical knowledge SQL – working Knowledge
Coding Skills in R, Python, Spark – preferable knowledge
Digital Strategy & Management of Techno-functional Roadmap
Excellent verbal, written and interpersonal communication skills to effectively manage communications and partner expectations at all levels of the organization.
Makes reasonable judgments quickly and adjusts thinking to assimilate new information.
Senior stakeholder management.
Vendor management.
People Management and Development.
Experience and cultural awareness required to take a role in a globally distributed team.
Shown track-record of delivering large and complex global data

Note : All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding.