Expire bientôt Unilever

Analytics Product Manager (Livewire D)

  • Kingston upon Thames (Greater London)
  • Conception / Génie civil / Génie industriel

Description de l'offre


For Unilever to remain 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) and Customer Development area 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 science access for 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 to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting
· The ETS I&A Product teams work closely with Global and in-market stakeholders to co-develop and deliver value by leveraging data and data science.
A key role in these teams is the Analytics Lead Manager which is responsible for the following -
· Work with Key Business stakeholders to identify business issues / opportunities. Identification and development of the product or capability features that will make a step change for the end user.
· Build the product roadmap to ensure the P&L delivery of the product
· Translate requirements to and insights from data scientist team needed to address opportunities / problem areas
· Own the delivery of the Product roadmap including co-creation of analytic innovations (working with the Data Scientist team) and acquisition of new data (working with the Data Expertise team).

Work as an embedded part of the Analytics products team to build out the product roadmap delivery of Livewire D&E. This role will require a deep understanding of the Performance management process and how CCBT’s are driving business outcomes. Based on this understanding, the Analytics Lead Manager will develop the product roadmap to meet the P&L of the product and to reduce time spent by CCBT’s on analysis and decision-making with the activation of Assisted and Predictive decision making capabilities.


· Be the bridge between business users and the product development team to define and develop the product features that will meet the needs / opportunities of the business users.
· Own delivery of the budget
· Own the change management required to ensure landing of I&A products
· Work with the I&A in-market teams to scale in market developments into product features
The position will be a team leader role working closely with the in-market data scientists, cluster hub data scientists, and key business stakeholders. There will be 2 – 3 Unilever FTEs directly reporting into this role, along with dotted line ownership of deliveries through the I&A Data Science organization and I&A Tech team as well 3 rd party resourcing supporting the product.


· M.B.A. in a relevant field with demonstrable understanding of business processes.
· Overall experience of 3 – 7 years in relevant field. Experience in Product delivery preferred.
· Strong track record of working with business stakeholders to drive definition and alignment
· Strong communication and Influencing skills
· Experience in driving business value through data / data science

Key Skills required
· Business Acumen
· Analytics Modelling / Techniques
· Data domain knowledge / exploitation
· Applying Core technology
· Communication skills
· Strong Stakeholder management / influencing
· CCBT’s, FET’s and CMI team in the countries where the product is being activated
· I&A In-market teams
· I&A Data team
· I&A Data Science team
· I&A Technology teams
· I&A Operations located in Bangalore
· Key business stakeholders the product is targeted to
· Industry bodies to bring best in class product thinking into I&A