Pharmacy Data Steward

We have another Data Steward role for the same group as the last ones earlier in the year. Many, many candidates have been submitted and rejected last year and cannot be submitted again for this same group and position. This is a true Data Steward; the client will not look at anyone without this experience.
They don't want DBAs, Data Analysts, etc
.

MUST HAVES:

• 5+ years of experience as an Operational Data Steward with Pharmacy Services or healthcare insurer / payer client experience
• 5+ years for experience Deep understanding of Pharmacy Data and Business Operations and Data Standards and interacting with Business-Facing Stakeholders
• 5+ years of experience enforcing and optimizing Data dictionaries, data glossaries, data lineage, data policies, standards, and rules in real-time
  , across different data systems and sources.

NOTE:
This role is Operations side, Business-facing, and non-technical. They need a true Operations side Data Steward with experience with and deep understanding of Pharmacy data. See highlighted areas below. This role will:

• Serve as Data Steward as part of an Agile team dedicated to Pharmacy data operations & initiatives
• Lead Data Governance collaborations with Government stakeholders to document, define, maintain, and manage data standards and assets.

Location: REMOTE

MUST HAVES:

• 5+ years of experience as an Operational Data Steward with Pharmacy Services or healthcare insurer / payer client experience
• 5+ years for experience Deep understanding of Pharmacy Data and Business Operations and Data Standards and interacting with Business-Facing Stakeholders
• 5+ years of experience enforcing and optimizing Data dictionaries, data glossaries, data lineage, data policies, standards, and rules in real-time
  , across different data systems and sources.
• Excellent verbal and written communication skills
  .
• Experience in Agile Methodology and tools (e.g., Jira, Rally, etc.)
• Intermediate to Advanced data analysis skills and tools (e.g., SQL, SAS, Python, Hadoop, Teradata, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.)

Role Summary
The Pharmacy Data Steward is a member of a cross-functional Data Governance team who partners with business, technical, and regulatory partners to ensure the documentation and implementation of data standards. The Data Steward leads complex, cross-organizational conversations - including risk assessment, data quality auditing, issue management, and knowledge management - to ensure Pharmacy data is fit for organization use. Candidates should have a strong data management background understanding how data is organized and relationships maintained between data domains across multiple enterprise system with a strong drive towards improving data quality and governance.

This role will focus on optimizing already established data governance policies and practices....Improved execution and monitoring ("operational") vs "green field" or new implementation of Data stewardship/ Governance design).

Responsibilities

• Serves as Data Steward as part of an Agile team dedicated to Pharmacy data operations & initiatives
• Leads Data Governance collaborations with Government stakeholders to document, define, maintain, and manage data standards and assets.
• Assesses and monitors data quality metrics, analyzing trends and proactively promoting remediation and preventive action efforts.
• Partners with IT and business teams to ensure the use of best practices and compliance with data standards.
• Provides consultative stewardship services to delivery and issue resolution teams, serving as subject matter expert as needed.
• Provides guidance on development, usage, and inventory of technical assets.
• Represents Data Governance in enterprise work groups and data steward communities of practice.

Qualifications:
Business Operations

Data Integration:

• Example:
  Integrating prescription data from various pharmacies into a centralized database to provide a comprehensive view of patient medication histories.
• Task:
  Collaborate with IT teams to develop ETL (Extract, Transform, Load) processes that ensure accurate and timely data integration.

Data Analysis:

• Example:
  Analyzing drug utilization data to identify trends in medication adherence and potential areas for intervention.
• Task:
  Use analytical tools and techniques to generate reports and dashboards that support decision-making for pharmacy benefit management.

Claims Processing:

• Example:
  Ensuring the accuracy of pharmacy claims data to facilitate timely reimbursement and reduce fraud.
• Task:
  Implement validation rules and automated checks to detect anomalies and discrepancies in claims submissions.

Formulary Management:

• Example:
  Maintaining up-to-date formulary data to ensure that covered medications are accurately reflected in the benefit plan.
• Task:
  Work with clinical teams to update formulary lists based on new drug approvals, clinical guidelines, and cost-effectiveness analyses.

Data Standards Perspective:

Data Quality Assurance:

• Example:
  Establishing data quality metrics for prescription data, such as…