Product Strategy Lead

Key Skills

Algorithms, Data Engineering, Data science techniques, Design, DevOps, Effective communication skills, Employee life cycle, Machine learning techniques, SAP

Job Description

One Demand Data & Analytics (ODDA) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face – unlocking quality growth and operational excellence.

Through ODDA, we deliver connected insights across the entire demand ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business.

The Portfolio, Innovation, R&D Analytics vertical within ODDA seeks to equip Mars Associates with the capabilities needed to address long-term portfolio health from a holistic and analytics-driven viewpoint, including end-to-end evolution within the product lifecycle.

Key Responsibilities

• Manage and build Advanced Analytics capabilities, focusing on Portfolio, Innovation, R&D analytics

• Develop knowledge and understanding of the business and the product lifecycle, working with key business stakeholders to understand their challenges and formulate business problems & solutions (e.g., via design thinking sessions)

• Ideate and build early perspectives on actionable insights to the problem and work with the cross-enablement team (data science, data engineering, DevOps) to develop sustainable and scalable solutions for the segment globally

• Have a strong understanding of the various statistical techniques, their application and translate the model outcomes into insights/ business terms

• Ability to lead complex analytical exercises/projects that lead to actionable direction within the business

• Skilled at building and managing relationships, including stakeholder management

• Excellent oral and written communication skills

• Experience in running governance processes and helping refine the operating model

• CPG and Retailer knowledge, including knowledge of and experience using key external third-party data sources and first-party data

• 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

• Collaborating with functional experts 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

Job Specifications/Qualifications

• Bachelor’s degree in Management, Business Administration, Engineering, Mathematics, and related field. Advanced degree preferred

• Significant prior experience in Analytics

• Prior experience with Analytics experience in the CPG industry preferred

• Experience in developing analytical models using multi-variate regression and building machine learning algorithms using data science experience

• Analyze large and complex data sources such as Nielsen and SAP

• Strong stakeholder engagement and/or experience in a matrix environment

What can you expect from Mars?

• Work with over 130,000 diverse and talented Associates, all guided by the Five Principles.

• Join a purpose-driven company where we’re striving to build the world we want tomorrow, today.

• Best-in-class learning and development support from day one, including access to our in-house Mars University.

• An industry-competitive salary and benefits package, including company bonus.

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.