Technical Product Manager

Seeking a Technical Product Manager with expertise in data to collaborate with Analytics/data Engineering teams, drive critical initiatives, and deliver innovative products of the central Data & Analytics organization. This role involves owning the team's vision, ensuring project prioritization aligns with business objectives, and maintaining strong communication with stakeholders. The ideal candidate possess a deep understanding of analytics stack and data architecture, as well as strong leadership and communication skills.

You will report to the VP of Data & Analytics and be responsible for the success of internal data products that influence decision-making across all levels.

Acting as the bridge between cross-functional teams, you synthesize business needs into well-defined initiatives, harness new opportunities, and ensure utmost data integrity. The TPM champions a culture of transparency, fostering impactful documentation, and perpetuating a product-led mindset. Your responsibilities also include spearheading the integration of cutting-edge technologies, such as AI and machine learning, while meticulously orchestrating end-to-end project roadmaps.

At Global Partners, business starts with people. Since 1933, we’ve believed in taking care of our customers, our guests, our communities, and each other—and that belief continues to guide us.

The Global Spirit is the cornerstone of our commitment to success. As a Fortune 500 company with 90+ years of experience, we’re proud to fuel communities—responsibly and sustainably. We show up every day with grit, passion, and purpose—anticipating needs, building lasting relationships, and creating shared value.

Your Role, Your Impact Define and drive the strategy and roadmap for world-class data solutions, managing teams to execute and deliver on the visions vital to the success of business units across global partners in a way that is scalable and reliable

Leverage your technical knowledge, subject matter expertise, and understanding of trends to influence business direction and decision-making

Work with cross-functional teams, including data scientists, data analysts, engineering, and business partners (like finance and operations), to translate business needs into initiatives with well-defined requirements.

Identify new business opportunities and develop analytic solutions balancing impact, cost, timeline, and analytic risks. Manage and monitor business-critical metrics to ensure data integrity and utility.

Continuously interact with stakeholders across the org to gather feedback, prioritize it, and transform it into actionable product requirements, ensuring a unified and intuitive end product for all things data & analytics

Create and maintain high-impact documentation for various stages of the data product lifecycle, collaborating with data teams, data science teams, analytics, the PMO, and other business units. Effectively communicate project statuses, wins, and strategies to various organizational levels- champion a demo-day mindset

Partner in setting the vision and direction for the team, and build a product led mindset to culture success. Help drive technical discussions, lead product reviews, or design process and strategy frameworks to maximize business value

Drive the integration or application of advanced technologies, machine learning and artificial intelligence across organizations in our vertically integrated business

Develop and manage end-to-end roadmaps, ensuring timely delivery, performing risk assessments, and implementing change management strategies for optimal go-to-market rollouts

Establish transparent communication channels with internal and external stakeholders, building strong, influential relationships and ensuring alignment with product goals and objectives

Oversee product for our data governance programs, collaborating with teams to ensure that data is brought into the planning stage of every product, while working to plan and support data retention needs and ensuring compliance across products internal and external

Qualifications

Bachelor’s degree in a relevant field such as Business, Computer Science, or related quantitative…