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Unilever

Product Manager - iRGM Analytics

Unilever is hiring a Product Manager - iRGM Analytics. Level rates it ; you can apply on Unilever.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
  • The posting mentions product management, analytics and revenue growth management among its tools and skills.
  • Level classes it as a senior role.
  • Unilever has 273 other open roles on Level.
  • Posted in the last few days.

AI in this role

Product Manager for iRGM Analytics at Unilever to embed advanced analytics, predictive capabilities, and AI into revenue growth management solutions.

product-managementanalyticsrevenue-growth-management

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 team2. Connected to the business3. Deploying with pace and discipline4. Designing for experienceOur 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 insights2. Build in-house, leading-edge data, information, insights & analytics capability3. Lead the data & insights culture and careers to empower employees across Unilever4. Rapidly embed analytics products, solutions and services to drive growth5. 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

• 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."

How we rate this

Product Manager - iRGM Analytics at Unilever rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementAnalyticsRevenue Growth Management

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$180k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where analytics was part of your work. What did you do?
  3. Tell me about a project where revenue growth management was part of your work. What did you do?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Product Management, Analytics, and Revenue Growth Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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