Data Steward V

The Data Steward V serves as a strategic leader in the management, governance, and quality of commercial group sales data assets. This role partners closely with business stakeholders, data analysts, technology teams, and leadership to establish trusted data, drive data-informed decision making, and ensure consistent application of business definitions, standards, and rules.

The ideal candidate combines strong business acumen, data governance expertise, and analytical skills to define and manage critical data assets, improve data quality, and translate complex business requirements into actionable data solutions. This individual acts as a bridge between business and technical teams, ensuring data is accurate, accessible, governed, and aligned with organizational objectives

Job Summary:

This individual contributor is primarily responsible for driving strategic data-informed decisions, driving the data sourcing strategy, and interpreting data analyses. This position drives analytic product support efforts, drives access, data delivery, and data system changes, and ensures data quality is maintained to standard.

• Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and develop weaknesses; and adapting to and learning from change, difficulties, and feedback.
• Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and evaluating recommendations made by others.
• Drives analytic product support efforts by organizing and participating in large and/or complex testing design, execution, and peer code reviews; triaging and prioritizing data system changes or modifications; and informing the development of common business rules.
• Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making.
• Drives the data sourcing strategy by establishing a means to identify and represent content; working with business stakeholders, data visualization specialists and/or data scientists to determine analytics data consumption mechanisms; determining optimal data storage lifecycle; ensuring data are packaged in a way to be reused and shared; developing and ensuring adherence to data rules and access guidelines; determining best strategy for combining data residing in disparate systems into a unified, consistent data view; recommending optimal approaches based on analytics requirements; and establishing, managing, and communicating information policies and mechanisms for effective data usage.
• Drives access, data delivery, and data system changes by defining and managing data control business processes for specific data domains or elements to achieve system integrity and consistency; assessing and maintaining strategies that reduce data redundancies and increase data consistency; establishing policies and procedures; creating and maintaining data reference materials; and following data security protocols and standards.
• Ensures data quality is maintained to standard by defining data elements; establishing policies and procedures related to the collection and accuracy of data; monitoring and tracking ongoing data quality levels; performing user acceptance testing on data systems; partnering to identify database maintenance enhancements; profiling data inaccuracies; and recommending process improvements or system changes to enhance overall quality of the data.
• Drives strategic data-informed decisions by consulting with clients and leadership to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data and information needs; determining data collection methods; advising on the development of complex analysis plans; consulting on analytic tool engagement; partnering with clients and staff to identify opportunities and methods to improve efficiencies with data sourcing and access; and documenting processes and deliverables.