Job Title: Senior Product Engagement Manager
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We are looking to hire a Senior Product Engagement Manager for the in-market data & analytics team in South Asia.
This is an exciting role in the Data & Analytics team partnering the 2nd largest Unilever business HUL. Unlocking growth, consumer and customer value while driving efficiencies and building future ready capabilities using business analytics, ML & AI is core to what we do everyday!
Your Team: The Data & Analytics In-Market team helps our Unilever businesses win competitively in market using data, data science, and analytics. We leverage Our close engagement/ relationship with brands, marketing, supply chain and customer development leadership to solve for both large transformation programs and near-term business problems. The team is composed of business analysts, data scientists, and data experts who understand the business context & problem, apply advanced mathematics and/or statistics to large data sets; and operate in cloud based environments where data, models, and user interfaces reside in the same platforms-core technologies.
What you’ll lead in this role:
Own and deliver the data & analytics product and technology roadmap for HUL and South Asia with the Head of Data & Analytics in-market
Specifically, this role will focus on working on in-market business problems coming from Consumer experience covering all aspects of 6P marketing, brand performance & category insights.
You’ll play the key role of integrating multiple critical D&A products from reporting to advance analytics products which support decision making for our brands and business units
You’ll partner and engage with business & transformation leads and teams to identify, evolve and manage the D&A platforms that to deliver relevant insights that lead to actions.
Build and deliver the joint business plan priorities between Data & Analytics team and the market leadership teams.
Manage the D&A information and analytics platform and products to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics
Integrate local and global products into a seamless eco-system and elevate the experience for our users across the same
Partner with CMI, Media, R&D, NRM, Supply Chain and digital transformation teams to build the integrated eco-system of products for categories and brands
Drive the training, learning agenda to impact adoption & embedding of the D&A product portfolio in market
Influence the Global D&A platform and technology roadmap to prioritize market demand and land value in market
Build and deliver business cases for local/global D&A products in market.
Manage multi product / program roadmap for consumer D&A space
Lead and mentor team members reporting to you
Bring out the “art-of-possible” thinking from outside the organization by connecting with the start-up ecosystem, industry leaders and academia
Partner with the Global Unilever D&A leadership on learning and product deployment in-market
Develop and manage key Partnerships with strategic and niche analytics service providers and delivery partners
Budget and project management for D&A Platforms and Products
There will have 1-2 Unilever FTEs direct/indirect reporting into this role, and between 5-7 third party contractors this role is accountable for.
B.Tech/ B.E in computer science engineering (or) analytics with and MBA preferred. Overall experience of 8+ years preferred
Experience in either setting up and managing a portfolio of D&A or Tech products is a must (2-3 years).
Strong track record in partnering multiple stakeholders in a techno-functional role
Expert knowledge in one or more of the following: performance reporting, automation, azure D&A landscape, analytics and insight generation products, change management
A sound understanding of brand and category performance management, related metrics and data sets will be advantageous
Experience in designing end to end architectures on Azure and building scalable solutions using DevOps (or) MLOps will be preferred.
Knowledge and experience working with products dealing with complex, high-volume, highdimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and nonstructured data)
Knowledge of design thinking (or) user centric design and user experience design
Passion for problem solving and answering business questions with data & technology
Ability to communicate complex product roadmap and portfolio plans in a precise, and actionable manner to business stakeholders.
Data & Analytics in Unilever:
For Unilever toremain competitive in the future, the business needs to continue its path to become data intelligent. The Information and Analytics team is responsible for building data, data science and analytics as a core capability to help the business become data intelligent and drive business and organization performance. The team will deliver advanced products at scale and work closely with the market teams to ensure that decisions in Unilever are augmented with insight & recommendations wherever possible.
There are five major themes to the Information and Analytics strategy:
Deliver Intelligent systems at scale. Powering Business (cross functional), Customer Development area & Supply Chain through data and analytics. Building out the right applications to enable business teams to move faster, with more accurate and future looking decisions leveraging Big Data & Data Science
Winning disproportionately in Markets. We believe that the best way to move the needle for Unilever in Analytics is to work with leading geographies to create analytics products that make a significant impact on our business
Drive Unilever to assisted and predictive decision-making. The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.
Make data a true asset. Better data and data scienceaccessfor every part of Unilever, across the 3 -data framework (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.
World-class Information: One Version of the Facts. Continued excellence in delivery of diagnostics and insights tofocus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership teamreporting
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