Senior Manager - Marketing Analytics

The Company:

HP is a Fortune 100 technology company with $58+ Billion in revenue, with over 50,000 employees operating in more than 170 countries around the world. We provide technology and services that help people and companies address their problems and challenges, and realize their possibilities, aspirations and dreams. We apply new thinking and ideas to create simpler, more valuable and trusted experiences with technology, continuously improving the way our customers live and work.

About the Role:

In the GTM advanced analytics COE, our mission is to deliver impact by building machine learning products to guide HP's pricing, making the right marketing investments, and interacting with the right accounts on the right topics.

As a Senior Manager in our Advanced Analytics team, you will play a pivotal role in driving strategic decision-making processes across our Category, Marketing, and Sales teams. You will lead a team of data scientists and analysts, working closely with key stakeholders to optimize investments and drive growth through data-driven insights.

Key Responsibilities:

• Own the relationships with key stakeholders: Develop and nurture strong relationships with stakeholders in Category, Marketing, and Sales to deeply understand their needs and challenges.

• Drive optimization of investments across 4P levers: Define the core objectives, key business questions and requirements that will shape the design and execution of data science projects. Identify needs and rework processes to actively drive optimization of investments across Promotion, Price, Placement, and Product.

• Guide stakeholders in investment (strategic, tactical, & operational) decisions: Provide guidance to stakeholders in annual, semi-annual, quarterly, and intra-quarter investment optimization across key 4P levers, including Digital Demand Gen, Pricing, In-store investments, Channel Programs, and Above the Line Advertising.

• Manage data lifecycle and create compelling data narratives: Full ownership of the data life cycle means creating compelling presentations, driving data acquisition, ensuring data validation, establishing new data pipelines, navigating complex schemas and large data sets, developing or improving metrics for business performance, and creating intuitive visualizations - always with an eye towards actionable insights.

• Support stakeholders with advanced analytics and scenario planning: Utilize analytics and scenario planning to support stakeholders in decision-making processes, leveraging deeper data science models when necessary.

• Develop an aligned roadmap for 4P tools and analytics: Collaborate with Category, Marketing, Sales and Data Science teams to develop an aligned roadmap for 4P tools and analytics that meets the needs of stakeholders.

• Drive optimization outcomes in line with objectives: Ensure that optimization outcomes align with quarterly and annual objectives, continuously monitoring and adjusting strategies as needed.

What You'll Need:

• Deep Business Knowledge: Deep understanding of how various business levers work from both a consumer and commercial perspective to identify key drivers of growth and profitability within each category and channel, providing valuable insights to stakeholders.

• Expertise in Data Science and/or Analytics: Strong theoretical understanding of Marketing Mix Models (MMM) and/or other statistical methods. Demonstrated ability to apply advanced analytics techniques to solve complex business problems and drive strategic decision-making.

• Advanced Degree in a Relevant Field: Masters or PhD degree in Computer Science, Statistics, Mathematics, Economics, Physics, Biology, or a related field.

• Ability to Translate Needs for Data Science Teams: Must act as a liaison between Category and other stakeholders and the Data Science teams. Translate business needs and realities into technical requirements, guiding the development of technical roadmaps and solutions

• Leadership Experience: Proven track record of success leading data science and/or data analytics teams in the marketing science domain. Ability to inspire and motivate cross-functional teams to achieve ambitious goals, fostering a culture of innovation and collaboration.

• Strong Communication and Stakeholder Management: Excellent communication skills with the ability to effectively convey technical concepts to non-technical stakeholders. Proven ability to build and maintain strong relationships with stakeholders at all levels of the organization.

• Technical Proficiency: Proficiency in programming languages such as Python, R, and/or SQL.

Who We Are:

At HP, we believe in the power of ideas. We use ideas to put technology to work for everyone.

And we believe that ideas thrive best in a culture of teamwork.

That is why everyone - at every level in every function, is encouraged to think big, have original ideas and express and share them. We trust anything can be achieved if you really believe in it, and we will invest in your ideas to change lives and the way people work.

This vision is what sets us apart as a company. At HP, we work across borders and without limits. Global virtual teams share resources, pool their big ideas to solve our biggest business opportunities.

Everyone is valued for the unique skills, experiences and perspective they bring. That's how we work at HP. And this is how ideas and people grow.

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