Product Manager - iRGM Analytics

Job Title:Product Manager - iRGM Analytics

Location : Bangalore

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 a completely agile organization that builds fantastic careers for our people and is accountable for delivering great work that maximizes impact and delivers growth.
This Data & Analytics function endeavours to create clear accountability 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 minimising 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 Defence (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 four key operating principles:
1. One team
2. Connected to the business
3. Deploying with pace and discipline
4. 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:
1. Accelerate & simplify access to relevant data, information and insights
2. Build in-house, leading-edge data, information, insights & analytics capability
3. Lead the data & insights culture and careers to empower employees across Unilever
4. Rapidly embed analytics products, solutions and services to drive growth
5. Advance Information Automation at Scale

Main Purpose of the Job:
Integrated Revenue Growth Management (iRGM) is central to driving profitable, sustainable growth across categories, channels, and customers. This role focuses on defining, operationalizing, and embedding Revenue Growth levers including pricing, promotions, pack-price architecture, trade investments, and mix through data-driven insights, governance, and capabilities. The role expects end-to-end delivery of iRGM initiatives for the respective BGs from Design, Data, Analytics and AI.

Key accountabilities:
1. Establish compelling product design which is at par with some of our competitors’ offerings while being fit for purpose for Unilever nuances
2. Lead the design and alignment of RGM methodologies (e.g., elasticities, promo ROI models, base vs promo build, distribution impact) in partnership with CMI, Finance, and CSPs.
3. Roadmap prioritization, approval & delivery working with business & CSP champions
4. Guide cross-functional squads (Analytics, Data, CDIO, Business) and take accountability for delivery excellence and stakeholder satisfaction.
5. Oversee product functional/ non-functional design and ensure Capability Teams’ members of the squad develop solutions which meet the business requirements
6. Develop; own; and manage all project budgets & timelines
7. Translate RGM strategy into analytics and data needs, working with Data CoE, CMI, and Solution Factories to ensure robust data foundations.
8. Work with the CDIO teams to test solutions & functionality as well as embed the solutions with key users through effective Change Management.
9. Assist the business in change impact assessments and liaise with the CDIO & Change leads on the ground to support the delivery of change management
10. Lead business value measurement exercise working closely with CDIO teams as well as business stakeholders.
11. Own products developed in BAU and work with the CDIO teams and XOPS to ensure DevOps requests are appropriately managed, budgeted and delivered
Experience and qualifications required:
(Detail essential and desirable experience)

• 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 understanding of RGM levers: Pricing, Promotions, Trade Spend, Pack-Price Architecture, Mix Management, and Elasticities.
• 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
• Demonstrated track record of establishing & landing analytics charters
• Good understanding of CPG data (Nielsen/IRI panels, retailer POS, internal shipment data) and multi-hierarchy structures.
• 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 GDT 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
• Deep understanding of data landscape & data management principles Project mgmt. skills and ability to synchronize the planning & delivery of the GDT 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 GDT product roadmap via consecutive Releases which align with key business needs.

Key interfaces
Internal
• CSPs and Key Account Managers, GDT Portfolio Manager, XOPS, BDL Factory, Data CoE, Data Science Coe, Tech Transformation, Global Platforms Team
• CDIOs and Insight Hubs
• UniOps Tech Services teams
• CD IT business partnering teams
External
• Partner Data and insight 3rd parties

Our commitment to Equality, Diversity & Inclusion 

Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing 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.

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."