Data Product Manager

Roles and responsibilities

Objectives and Responsibilities

As a leader in data management, your primary objective is to execute a clear vision that effectively manages and disseminates data to decision-makers across the organization. You will be responsible for implementing robust data visualization and self-service capabilities, empowering teams to access and utilize data independently. By leading and inspiring Data Project Managers, you will cultivate an environment of trust and transparency, enabling your team to make strategic decisions that align with the business's goals.

A key responsibility will be to scope, design, and implement machine-learning models that support the company’s initiatives, optimizing algorithms to enhance customer experiences. You will drive the mission of delivering decision-ready data to all teams, promoting processes for benchmarking, tracking, A/B testing, and comprehensive data analysis. Effective communication with various stakeholders will be essential, ensuring alignment on the value of data and its impact on business outcomes.

Additionally, you will assess existing business processes, tools, and infrastructure to ensure that CoachHub has cutting-edge resources to realize its vision. Your strategic oversight will help shape the direction of data initiatives, fostering a data-driven culture within the organization.

Ultimately, your leadership will drive the strategic use of data across the organization, enhancing decision-making processes and contributing to overall business success. With your vision and expertise, you will empower teams to leverage data as a vital asset in achieving their objectives.

Desired candidate profile

Required Qualifications

To be successful in this role, you must possess significant experience in a senior leadership capacity focused on data and information management. You should be an inspiring and visionary leader, creating an environment where team members feel encouraged to experiment and learn from their mistakes. Building a culture of constant feedback and deep trust among team members is crucial.

Your ability to understand diverse business needs and foster cross-functional cooperation will be vital in facilitating decision-making throughout the organization. You should be adept at engaging in and influencing technical discussions surrounding Data Warehouse design, ETL processes, data visualization, machine learning algorithms, and A/B testing, ensuring a high standard of data quality.

A strong skill set in translating business requirements into technical specifications is essential, as is the ability to adapt your communication style to different audiences. This flexibility will enable you to effectively convey complex technical concepts to non-technical stakeholders and vice versa.