Lead Data Steward

Premier Inc.

3d•$90,000 - $150,000•Remote

About The Position

Lead Data Steward What you will be doing: This position executes on the tactical plan to deliver master, reference or transaction data that is accurate, timely, consistent, complete and trusted across the enterprise as “the source of truth” This position will play an integral role in the day-to-day operations, development and decision making in multiple domains. This position will provide input into the tactical and strategic plan, provides day-to-day direction and carries out job responsibilities with minimal level of senior management involvement, , recommends, understands, and implements standards in a healthcare focused environment. May lead small teams for a fixed or variable period. Emphasis is on data integrity, process improvements, and conformity of information. Key Responsibilities Responsibility #1 – 40% Master Data Management: Data Content & Collection - Populate data content per metadata, reference data, identifiers, responsible/ accountable for identification, classification & enrichment in multiple domains per tactical plan Standardization & Enrichment – Thoroughly understands processes to match data to master, reference or 3rd party data sets and enrichment rules for attributes Metadata Management – Defines and populates metadata, recommends additional metadata, publish usability Data Quality & Profiling – Understands, implements, recommends and measures (profiling) accuracy, completeness consistency, recommend tools/processes Data Standards & Practices – Has high level understanding, helps implement and enforce, engages with standard bodies and members, mapping one standard to other DM Framework & Maturity – Understands & adheres to framework, designs plan for new maturity level Data Security/Privacy – Provides input and knowledgeable of issues and concepts Data Governance – Creates data glossaries, dictionaries, and tracks lineage for any data spec in data governance tooling. Responsibility #2 – 25% Relationships & Cross Team Collaboration Interact with business to create and work towards KPIs, SLAs and exceptions, Initiate, recommend, and implement cross-functional team process improvements Build relationships with cross functional team leaders and help foster cross functional team collaboration May manage small team for fixed/variable periods May manage projects involving remote team in India Responsibility #3 – 20% Industry, Member, Supplier Engagement: • Skilled at engaging, participating with, and influencing industry/members/suppliers, and knowledgeable about data standards organizations Responsibility #4 – 10% System and Process Enhancements: • Provide input and approves recommendations • Effectively articulates to technical team and validates enhancements via User Acceptance Testing (UAT) • Support implementation of components of data management services for improving downstream application functionally and content Responsibility #5 – 5% Outreach Effectively communicate with suppliers, members, or internal staff to obtain or confirm information.

Requirements

Years of Applicable Experience - 4 or more years
High School Diploma or GED (Required)
Data standardization and cleansing
Critical thinking and analytics skills. Ability to see trends in data and determine the relevant updates.
Highly proficient in data manipulation skills and strong attention to detail
Problem Solving – discover root cause and develop plan for resolving
Procedural documentation
Data Stewardship
Database Navigation and Querying – SQL, Tableau, GBQ, Databricks
Microsoft Office – especially Excel
Proficient with workflow applications
Ability to leverage AI
Remain in a stationary position for prolonged periods of time
Be adaptive and change priorities quickly; meet deadlines
Attention to detail
Operate computer programs and software
Ability to communicate effectively with audiences in person and in electronic formats.
Day-to-day contact with others (co-workers and/or the public)
Making independent decisions
Ability to work in a collaborative business environment in close quarters with peers and varying interruptions

Nice To Haves

Materials Management
Data Analytics
Purchasing
Data Integration discipline
Industry classifications and standards such as UNSPSC, UDI, NDC, GLN, HIN, DEA etc.
Healthcare master or transaction data
Bachelor’s or master’s Degree; Data Management Certification

Responsibilities

Master Data Management: Data Content & Collection - Populate data content per metadata, reference data, identifiers, responsible/ accountable for identification, classification & enrichment in multiple domains per tactical plan Standardization & Enrichment – Thoroughly understands processes to match data to master, reference or 3rd party data sets and enrichment rules for attributes Metadata Management – Defines and populates metadata, recommends additional metadata, publish usability Data Quality & Profiling – Understands, implements, recommends and measures (profiling) accuracy, completeness consistency, recommend tools/processes Data Standards & Practices – Has high level understanding, helps implement and enforce, engages with standard bodies and members, mapping one standard to other DM Framework & Maturity – Understands & adheres to framework, designs plan for new maturity level Data Security/Privacy – Provides input and knowledgeable of issues and concepts Data Governance – Creates data glossaries, dictionaries, and tracks lineage for any data spec in data governance tooling.
Relationships & Cross Team Collaboration Interact with business to create and work towards KPIs, SLAs and exceptions, Initiate, recommend, and implement cross-functional team process improvements Build relationships with cross functional team leaders and help foster cross functional team collaboration May manage small team for fixed/variable periods May manage projects involving remote team in India
Industry, Member, Supplier Engagement: • Skilled at engaging, participating with, and influencing industry/members/suppliers, and knowledgeable about data standards organizations
System and Process Enhancements: • Provide input and approves recommendations • Effectively articulates to technical team and validates enhancements via User Acceptance Testing (UAT) • Support implementation of components of data management services for improving downstream application functionally and content
Outreach Effectively communicate with suppliers, members, or internal staff to obtain or confirm information.