Shopper Product Strategy Lead

The Product Strategy Lead role reports to the Global Shopper Marketing Analytics Head and is global with regional focus (North America). This associate will engage with business users to define right problems, lead data scientists and data engineers (internal as well as external) to drive right product creation. The role is expected to evangelize a data-driven decision-making culture across Mars Wrigley by fostering a hypothesis-driven approach to problem-solving and create value by enabling consumption of advanced analytics.

What are we looking for?

• Bachelor’s degree in Management, Business Administration, Engineering, Mathematics, and related field. Experience in CPG Shopper Marketing is preferred.

• Significant f experience in analytics

• Strong business-oriented mindset that able to understand business need; expertise in translating data driven insight into solutions that enable business to make insight-led decision making

• Skilled at building and managing relationships, including stakeholder management, able to present to senior leadership crafting a compelling story and explaining capability across people, process, systems and data

• Project management skills and ability to solve complex problems

• Knowledge of Sales & Marketing Analytics for a CPG, solid experience in working on shopper/brand/media marketing insights with internal team and external agencies

• Knowledge of, and experience using key internal and external consumer data sources, such as Consumer panel data, second party (e.g. Customer Sales Database, Retailer Media, technology generated data) and 3rd party (e.g. Kantar, Dynata, Nielsen, IRI, Fetch).

• Experience in developing analytical models using multi variate regression and build machine learning algorithms using data science are preferred.

What will be your key responsibilities?

• Lead and build Advanced analytics capabilities, focusing on Shopper Marketing investment optimization.

• Deliver shopper data analytics and measurement to allow business to understand the performance and act at pace on online and offline marketing campaigns

• Lead complex analytical projects which lead to actionable direction within the marketplace, challenging status quo in the market

• Work with key business stakeholders to understand their challenges and formulate business problems using and constantly building knowledge of shopper marketing including agency model, applying entrepreneurial can-do attitude

• Ideate and build early perspectives on actionable insights to the problem and work with the decision science team to prove/ disprove the hypothesis, continuously iterating as new information and/or insights come to light

• Shape and prioritize backlog, utilizing business expertise and understanding of customer needs, translate requirements into user stories & acceptance criteria

• Translate the model outcomes into insights/ business terms via strong understanding of the various statistical techniques

• Help the data science & engineering team with business context and provide necessary feedback during the analysis phase to ensure the outcomes deliver insights that are needed by the business

• Work with business stakeholders, Dev Ops and Data engineers to develop processes and tools to monitor and analyze model performance and data accuracy.

• Work with business stakeholders on Product adoption plan, scale to more users, business applications and embed the Product into business planning process, including market training and capability building.

• Leverage the Mars Digital Engine Framework to find the problem using user centric approach (Design Thinking), solve it using Advanced Analytics and Machine learning, automate the solution to scale while delivering in an agile manner

• Enabling & refining the operating model for one demand advanced analytics in partnership with global and in market stakeholders

• Collaborating with functional experts and technology teams on an ongoing basis to ensure quality delivery for the global digital transformation program

• Ensure knowledge and best practices sharing across segments and markets to ensure reusability and improving analytical maturity

• Stay connected with external sources of ideas through conferences…