Assistant Manager Information Services - Data Science/governance

Manager Of Data Science, Analytics, And Governance

NYSIF is a leader in Workers' Compensation, committed to leveraging data driven insights to drive business innovation and efficiency. Our Data Warehouse team is responsible for defining, maintaining, and governing NYSIF's overall data repository systems, and reporting to our business departments. We're seeking an experienced Manager of Data Science, Analytics, and Governance that will lead and shape our data governance, analytics and reporting, ensuring overall data standards, strategies, and solutions to be utilized by NYSIF's business department executives for reporting with high-quality analytics and governance practices.

Under the direction of the Chief Information Officer (CIO) and Director of Information Technology Services, the Assistant Manager of Information Services - Data Science/Governance (AMISDS) will play an essential role in building NYSIF's Data Warehouse systems and analytics. The incumbent will be responsible for designing, implementing, and governing the data warehouse infrastructure, analytics, and security. This position requires a deep understanding of data science and technical expertise in implementing solutions, with project management skills, and leadership capabilities. The AMISDS will work closely with cross-functional teams to define and execute Business Department insurance analytics reporting.

Responsibilities include, but are not limited to:

Strategic Leadership:

• Serve as the lead for data science and data governance, collaborating with ITS managers and guiding cross-functional teams with data initiatives.
• Formulate and implement data systems and governance management solution policies and standards, incorporating industry best practices.
• Oversee the creation and enforcement of data governance standards and procedures.
• Lead the development and management of the IT Data Science and Governance program, developing a team dedicated to support data initiatives.
• Assess existing agency and data source-specific data policies; identify and prioritize data policy development necessary for maintaining a central agency Data Governance framework that align with the agency's developing central data platform and roadmap e.g. data quality; metadata management policy, etc.

Operational Excellence:

• Offer strategic data management IT guidance to executive and senior ITS management.
• Conduct strategic data systems management IT evaluations and manage proof-of-concept projects.

Governance and Compliance:

• Oversee the development and maintenance of data offerings within the Data Catalog.
• Oversee the assessment and tracking of exception requests to established data governance and management technology.
• Identify technical risks and develop mitigation strategies to address them.
• Ensure that data management solutions adhere to security, compliance, and regulatory requirements.
• Develop and revise policies to establish accountability by mapping roles and responsibilities for the various data governance functions (e.g., data collection, data quality, classification, masking and tagging, matching, risk mitigation, product development, nomenclature, security, access controls, disclosures, data use agreements, etc.), for agency data stewardship and decision makers/aka data owners, within the organization.

Advisory and Support:

• Support Executive staff and colleagues through information management and preparation of presentations and communications that facilitates policy assessment, development and implementation and supports the central coordination of the data governance framework.
• Provide assessment, guidance, and recommendations for purchases that include data cloud services.
• Support business stakeholders, data architects, and service owners with mentoring and guidance.
• Develop and oversee upkeep of data resource tracking.
• Perform the full range of supervisory duties.

Strategic Development:

Collaborate with ITS teams to maintain and evolve data system roadmaps. Establish and uphold data management standards that drive consistency in innovation. Drive continuous improvement in data management solutions, processes and practices. Identify opportunities to streamline processes, improve efficiency, and enhance cloud management solution quality.