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Customer Operations XOPS - MLOPS Manager

ID da oferta:
R-43803
Category:
Uniops
Location:
Bengaluru, Karnataka
Data de publicação:
08/21/2025
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Job Title: Customer Operations XOPS - MLOPS Manager

Job Location: UniOps 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 UNIOPS:

Unilever Operations (UniOps) is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. UniOps serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit.

UniOps’ purpose unleashes the power of people, experiences, technology, data, and performance to deliver experiences that grow, fuel, and protect Unilever and our stakeholders.

The Data Foundation team plays a critical role in driving Unilever’s Growth and Fuel for Growth, empowering our people to make smarter and faster decisions to unlock value. Our vision is to transform Unilever to become truly Data Intelligent, delivering superior performance through data-driven decisions.

About DF – 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.

‘We are in the midst of a paradigm shift where the intelligence of machines will complement human ingenuity to do good, do better and smarter” – Sanjiv Mehta, Unilever President, South Asia

Our key objectives as Data Foundation 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. 

This is an exciting new role in the CO XOPS, which is tasked to deliver maximum value from data to drive business and organization performance.

Section Heading:  Role Profile

 (A concise statement setting out the main purpose and objectives of the job)

This role will focus on leading a build team to develop the Machine learning powered solution, Forecast Engine Utility. FEU is intended to help the business make more effective decisions in the integrated forecasting space. The role will be expected to blend the expertise of Delivery, ML, Data Analysis and Business Intelligence to design, develop and govern the solutions.

To be successful, the candidate should thrive working with both technical teams and commercial business teams.

Section Heading: Key Accountabilities                                                                                                                          

(Describe the decisions this role is accountable for, and the responsibilities/deliverables expected) Up to 6 points.

  • Design & manage the delivery workflow for the Solution Factory, including standards and templates where necessary

  • Work with the project squad members to break requirements into sprints and plan sprint delivery

  • Ensure third-party resources (or resources from the Data CoE) are in place to deliver planned sprints

  • Manage third parties delivering work escalating issues to relevant stakeholders when appropriate

  • Engage third parties & manage resources for delivery

  • Monitor third-party delivery quality to ensure it meets with Solution Factory standards and ensure suitable handover to DevOps

  • Assist in the review & selection of third parties for delivery

  • Contribute to the design of global TPA product roadmap incorporating market nuances.

All About You (Experience and qualifications required)

Essential:

  • 12+ years of experience in Solutions & products delivery in multi-vendor environment

  • Bachelor's degree in a professional or management discipline

  • Experience and deep understanding of Agile/DevOps/ML development lifecycle from conception to delivery in Data & Analytics area

  • Technical knowledge on Cloud based data and analytics tools and technologies, specifically Azure, Data Lake Store, SQL DW and Hadoop

  • Experience working with Power BI dashboard and large underlying data sets.

  • Excellent verbal, written and interpersonal communication skills to effectively run project communications and partner expectations at all levels of the organization

  • Makes reasonable judgments quickly and adjusts thinking to assimilate new information

  • Possesses highly effective analytical thinking to develop solutions, make recommendations, or propose action plans

  • Ability to learn new tools, technologies and process quickly

  • Self-motivated problem solver; able to thrive in a dynamic and customer-focused environment

  • Strong organizational and troubleshooting skills with precise attention to detail

  • Negotiation and influencing skills

  • IT knowledge to enable interactions with a multi-disciplinary IT team, including knowledge of architecture management, security management, quality management, capacity management, application development and testing, TOGAF, lifecycle management, service level management, IT operations

  • Experience of working in a global IT organization with multi-sourced and offshore environment

  • Experience and cultural awareness required to take a role in a globally distributed team

  • Shown track-record of delivering large and complex global projects

  • Good understanding of current and emerging Cloud technologies in Information management, and their potential business impact

  • Thorough understanding of applicable standards and procedures including technical, quality, safety and financial matters across all areas of service delivery

Desirable:

  • Professional certification (Agile methodologies, PMI, ITIL, CMI, Chartered IT Professional etc.) is a Plus

  • Domain expertise in Analytics

  • Experience in supporting development of business cases for technology investment

  • Working knowledge in any of D&A technicalities such Informatica, ADF, ADLS, Hadoop etc.

What do we offer:

From our foundation, Unilever has been a purpose-driven company. Today, our purpose is to make sustainable living commonplace. We are working to create a brighter future every day with brands and services that help people feel good, look good and get more out of life. That includes us – the people who work for Unilever, as well as the world around us. Unilever’s flexible rewards and benefits are designed to help us all have sustainable households, for whatever life stage you are at now and in the future.

These include:

  • Great work environment

  • Flexible work environment built on trust and autonomy

  • Pension scheme

  • Employee Assistance Program for you and your family

  • Well-being hub with access to benefits such as Healthcare, eye tests, health checks, occupational physio

We are a key advocate of well-being and offer a variety of support for our people including hubs, programmes, and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all. 

And last but certainly not least - the chance to be a part of a dynamic team with the backing of the globally renowned Unilever brand.

Our commitment to Equality, Diversity & Inclusion

Diversity at Unilever is about inclusion, embracing differences, creating possibilities, and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing the development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

Reasonable Adjustments

Unilever embraces diversity and encourages applications from people with a disability. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment journey. Candidates will be asked at the time of their application if any support or reasonable adjustments to complete their application and any subsequent recruitment journey with us at Unilever. 

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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