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XOPs Asst Data Manager

ID de l'offre:
R-1170211
Categorie:
Uniops
Lieu :
Bengaluru, Karnataka
Date de publication:
12/11/2025
Postuler

Job title - XOPs Asst Data Manager– Data Foundation | Commex

Location: GDT, Bangalore

ABOUT UNILEVER:

Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.

Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.

About Data Foundation – Context and Vision

Digital & Technology is transforming business, creating huge amounts of data. Our belief is that those companies that can truly harness data and deploy analytics at scale, will be those that succeed in the future. Our vision is to elevate data and data use across Unilever, to transform Unilever into a Data Intelligent enterprise, where every decision and action is powered by the best data and advanced analytics (AI) to deliver on our business goals. It’s about empowering our employees, helping them to make smarter and faster decisions and freeing up their capacity to focus on growth and the decisions that matter. Decisions about our categories, brands, channels, key markets, and our people.

We are helping to lead Unilever into the Future of Work, combining the best of human intelligence and machine through data-intelligent decision-making.

Who we are and what we do?

We are a passionate team of over 350 data experts, data scientists, information experts, technical specialists, and business analysts. We operate as ‘One DF’, made up of Global engagement and expertise teams, based in our key hubs including India, the UK, and US. Together, we combine the best of global for scale and efficiency, and local for intimacy and impact.

Our key objectives as DF are to:

  • Set the Unilever data strategy and lay the foundations to maximise the value of our data.

  • Deliver the connected Data Platform to accelerate access to integrated and trusted data at scale across the company for analytics and decisions.

  • Embed core data and analytics capabilities, leading to automation, AI, and Big Data to boost Unilever’s decision intelligence.

  • Lead the Data and Analytics Culture to build a future-fit workforce that values and adopts data-intelligent decision-making across all levels.

We are also passionate about powering our growth with purpose, building a diverse and inclusive team and culture, for example through our #WomenInData program, and continuing to innovate in the use of data and AI to meet our sustainability goals.

Main Purpose of the Job:

XOPs Asst Data Manager Commex will play the pivotal role in Design and delivering Data and Analytical solutions that empower business decision making, drive efficiency through automations and process re-engineering, setup and lead end to end Devops for Finance products.

This is a unique opportunity to establish and lead a cutting-edge connected data solution and a dynamic team, supporting the strategic and operational needs. In this role, you will build robust AI first data solutions, implement advanced analytics, and foster a data-driven culture that empowers strategic decision making.

This role is tasked to deliver the Products (prescriptive, predictive and AI Products) across commex products domain driving maximum value from data. Define, execute, and embed the data and analytics strategy, delivering the data platform foundations needed to fuel our analytical products. Partnering with our product and BG CDIO teams to define the product roadmap, data strategy and translating the same to delivery roadmap.

The position will be responsible for managing the end-to-end delivery of XOps for the products – Connected Data program, and other finance products. This role will ensure the seamless integration of these operations to drive efficiency, improve service delivery, and support the overall business objectives.

Key Accountabilities

This role will be instrumental in shaping a future-ready, data-driven organization by leading the technical enablement of scalable analytics and data solutions. This role will be part of high-performing, cross-functional team, working closely with Finance Business Analytics team, stakeholders, and senior leadership to establish best-in-class practices across data solutions, BI, and driving digital adoption in Finance.

XOPS Delivery

  • Lead Devops of analytical products in Finance domain through 3P managed service model optimizing costs and driving efficiency

  • Establish and enforce best practices for data governance, security, and lifecycle management

  • Own end-to-end delivery of projects, ensuring timelines, quality standards, and stakeholder expectations are met

  • Track and report delivery metrics, proactively identifying risks and mitigation strategies.

  • Manage delivery-related financials, including effort estimation, resource planning, and budget adherence.

  • Collaborate with business stakeholders to gather requirements, translate them into technical specifications, and ensure alignment with business goals.

  • Facilitate communication between technical and non-technical teams, ensuring transparency and shared understanding.

  • Drive continuous improvement initiatives, including automation, documentation, and process optimization.

  • Champion Agile or hybrid delivery methodologies, adapting them to suit project and team needs.

  • Identify opportunities to embed and leverage AI capabilities into Data solutions to improve efficiency and insight generation.

  • Stay current with emerging AI trends and evaluate their applicability to ongoing projects, fostering a culture of innovation and continuous improvement.

Solution Architecture & Design

  • Work closely with engineering, data science, and XOps delivery teams to create architecture blueprints aligned with enterprise and CoE standards. 

  • Guide POCs and MVPs to validate ideas quickly and drive scale-up of successful initiatives. 

  • Guiding delivery and OPS teams to achieve architecture/code optimization and cost savings through Agentic AI

Data Architecture 

  • Ensure data architecture supports interoperability across internal systems and external partners. 

Experience and qualifications required:

Technical Skills:

  • Hands-on with Azure ecosystem like Data Factory, Synapse, Databricks, and Data Lake.

  • Azure experience (ADF, ADB), experience and deep understanding of Agile/DevOps/ML development lifecycle from conception to delivery in Data & Analytics area

  • Good understanding of data modelling and building clean, scalable pipelines.

  • Experience with ETL tools and integrating data from multiple sources.

  • Strong knowledge of data management, data warehousing, and big data technologies.

  • Proficiency in data analytics tools and programming languages such as Python, R & SQL

  • Strong knowledge of data visualization tools such as Power BI, Figma, Paginated Reports or similar.

  • Familiar with data security, governance, and compliance standards.

  • Experience in performance tuning and cost optimization

  • Proven ability to establish, lead and develop high-performing teams.

  • Familiar with Agile methods, project planning, and managing timelines.

  • Experience in developing Web applications will be an added advantage

Must have competencies

  • Can work well with stakeholders and business teams.

  • Strong in communication and solving real-world problems.

  • Passion for high performance

  • High level of integrity and professionalism.

  • Strategic thinker with a proactive approach.

  • Ability to work collaboratively with cross-functional teams.

  • Excellent organizational and time management skills.

  • Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.

  • Strong problem-solving and analytical skills.

  • Strong track record of working with senior business management to drive definition, alignment, data operating foundations to address complex business questions

  • Strong supplier management skills / ability to work with multiple providers 

Desired

  • Proven capability in managing teams

  • Experience working with Agile Delivery Principles

  • Data Governance understanding preferred

  • Data Privacy and Quality understanding preferred

  • Proven record of experience delivering Data / Analytics Solutions in procurement space.

Standards of Leadership Required in This Role

  • Personal Mastery

  • Agility

  • Passion for High Performance

Key Skills - Essential

  • Business intimacy with Finance & Commex

  • Analytical thinking and problem solving

  • Data visualisation

  • Data Modelling

  • Agile Delivery

  • Azure Experience

  • Business Process

  • Business partnering

  • Program & Project Management

  • Organizational awareness and knowledge of business organization structure

  • Vendor Management

Key Behaviours

  • Care Deeply

  • Stay Three Steps Ahead

  • Focus on What Counts

  • Deliver with Excellence

Key interfaces

Internal

  • Business Domain Product teams

  • BG CDIO teams

  • Data Foundation Center of Excellence teams / Other XOPs teams

External

  • Vendor Partners

Please 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

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