Assistant Manager Information Services - Data Science/governance

Assistant Manager Information Services - Data Science/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.
• Operational Excellence: Offer strategic data management IT guidance to executive and senior ITS management.
• Governance and Compliance: Oversee the development and maintenance of data offerings within the Data Catalog.
• 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.
• Strategic Development: Collaborate with ITS teams to maintain and evolve data system roadmaps.

Minimum Qualifications: Ten (10) years of broad information technology (IT) experience, demonstrating a comprehensive understanding of data management, data governance, software engineering, and data privacy related specialty and its application within large-scale organizations, including at least seven (7) years of focused experience in data management, data privacy and information security, with a track record of leading and developing data governance programs. Three (3) years of supervisory-level or two (2) years of managerial-level experience in data science, data management, data governance, or a related technical field.

Substitutions: A degree in computer science, computer engineering, or a related field may substitute for the broad IT experience as outlined below: Bachelor's degree may substitute for three years of experience. Master's degree may substitute for an additional one year of experience. Doctorate may substitute for an additional two years of experience.

Preferred Qualifications: Relevant data management-industry certifications, including but not limited to: IBM Certified Data Architect - Big Data, Microsoft Certified: Azure Data Scientist Associate, Google Data Analytics Professional Certificate, Arcitura Certified Big Data Architect, Certified Big Data Management Professional (CDMP), Certified Data Management Professional (CDMP), Data Governance Stewardship Professional (DGSP), Certified Data Privacy Solutions Engineer (CDPSE). Demonstrated leadership abilities, including mentoring and advancing the development of data science teams. Excellent analytical, strategic planning, and execution skills. Demonstrated expertise in programming languages such as Python, SQL, Java, among others. Experience working with various data-related technologies, such as SQL databases, ETL/ELT tools, graph databases, and others. Experience in data modeling and design with expertise in data management and SQL development. Demonstrated expertise in using modeling tools, including Ewin and similar platforms. Experience with data lifecycle management (DLM) and understanding of metadata usage throughout each phase of DLM. Familiarity with security, compliance, and regulatory requirements related to technical data management solution design. Metadata management skills with the ability to apply metadata principles across organizational data. History of collaborating with various organizational levels and departments to reach consensus and achieve goals. Communication and interpersonal skills to interact effectively with a broad range of stakeholders, including senior managers. Capability to explain the limitations and functionalities of data infrastructure to relevant parties.