Job Description

Job Title: FEU Regional Delivery & Service lead EU

Location: Bangalore

ABOUT UNILEVER:

Be part of the world\xe2\x80\x99s 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 \xe2\x80\x93 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\xe2\x80\x99ll be surrounded by inspiring leaders and supportive peers. Among them, you\xe2\x80\x99ll 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\xe2\x80\x99ll work to help you become a better you.

At HUL, we believe that every individual irrespective of their race, colour, religion, gender, sexual orientation, gender identity or expression, age, nationality, caste, disability or marital status can bring their purpose to life. So apply to us, to unleash your curiosity, challenge ideas and disrupt processes; use your energy to make the world a better place. As you work to make a real impact on the business and the world, we\xe2\x80\x99ll work to help you become a better you!

Background:

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

Our ambition is to enable democratization of data, information and insights as \xe2\x80\x8ba completely agile organization \xe2\x80\x8bthat builds fantastic careers for our people \xe2\x80\x8band is accountable for delivering great work \xe2\x80\x8bthat maximizes impact and delivers growth.

This Data & Analytics function endeavors to create clear accountabilities for all aspects of Data Strategy, Data Management, Information Management, Analytics, and Insights. We would be accountable for impact of solutions, maintaining market relevance and minimizing unnecessary overlaps in analytics products, ensuring simplicity and that our solutions better meet the needs of our users.

We would partner with the Digital and Data Legal Counsel to ensure that our Data Defense (Privacy, Governance, Quality, etc.) is well structured and sufficiently robust to use data and AI correctly throughout the enterprise. We would democratize information across the business, while supporting the culture shift required for data driven decision making. Further, this team would drive capacity unlock from manual and duplicative reporting capabilities, while also refocusing a portion of the unlock on embedding predictive and prescriptive analytics capabilities into our highest potential opportunities.

We have our key operating principles:

One team Connected to the business Deploying with pace and discipline Designing for experience

Our vision is to make Unilever data intelligent, partnering with the business to power key decisions with data, advanced analytics and AI to accelerate growth. Our 5 strategies to achieve this are:

Accelerate & simplify access to relevant data, information and insights

Build in-house, leading-edge data, information, insights & analytics capability

Lead the data & insights culture and careers to empower employees across Unilever

Rapidly embed analytics products, solutions and services to drive growth

Advance Information Automation at Scale.

JOB PURPOSE

This role would be a project role for 12-18 months.

Lead the Delivery and Service management of the Forecast Engine Utility (FEU) for new and existing products and services; ensure that new business requirements are analysed, designed, delivered, deployed, ready for run & operations. FEU uses machine learning to produce one volume forecast for CD and SC demand with the target of 80% of volume being no touch.

This role will partner with the planning teams globally, product teams that utilize FEU forecasts and market teams who deploy FEU to deliver the vision of one no touch forecast.

RESPONSIBILITIES

Engage with the iOPS Design Authority, Tech Deployment teams and planning transformation team to define requirements and capabilities.

Develop and provide new solutions to enhance the FEU product in the form of data science, data integration and ML OPs.

Setup up and lead pilots and experiments to improve forecasting performance and scope.

Industrialize and automate model build and run.

Design and lead integration builds and testing.

Set up and run MLOPs.

Manage planning and deployment of vendor partners.

Manage design, build and run budgets.

Manage forecast run performance to achieve forecast accuracy, bias and no touch adoption targets.

Track and communicate deployment and run performance of FEU.

ALL ABOUT YOU

Essential:

Strong knowledge & experience of Tech Delivery, Operating models and Operations setup.

Data Science, Machine Learning and Analytics.

Strong knowledge of technology platforms to deploy at speed and scale.

Supply Chain process knowledge.

Excellent communication and influencing skills to build trust and support with stakeholders.

Strong Business Partnering capability and experience.

Experience of delivering projects and working with multiple business teams and stakeholders.

Global Project Management, Budgeting and Tracking.

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Experience of delivering End to end Data and Analytics global projects.

Ability to lead in a complex ambiguous environment.

Unilever