What are the responsibilities and job description for the Data Governance Lead position at Indiana Farm Bureau Insurance?
Primary Responsibilities
- Design and implement a comprehensive data governance framework, managing the full data lifecycle in collaboration with IT, business stakeholders, data owners, data stewards, and technical teams.
- Lead the development and maturation of the MDM program, ensuring high data quality, accurate master and reference data management, and effective metadata management.
- Guide the newly formed data stewardship group to function effectively, fostering collaboration and defining their roles and responsibilities within the data governance framework.
- Establish and advance the company's semantic layer, creating a unified and accessible data structure to support business intelligence and analytics.
- Utilize a new data governance tool to establish and scale the program, integrating cutting-edge AI solutions to enhance efficiency and deliver transformative insights.
- Drive change management initiatives, building strong relationships with IT, business, legal, and security teams to align stakeholders on data governance and MDM goals.
- Collaborate closely with the enterprise architecture group, enterprise data architect, and other IT and business leaders to ensure the data strategy supports company-wide objectives.
- Act as an industry thought leader, defining a strategic vision for data governance, MDM, and the semantic layer that aligns with the company’s maturity level and future aspirations.
- Partner with legal and security teams to ensure robust data security and compliance with data privacy regulations.
- Bachelor’s or Master’s degree in Information Management, Computer Science, Business Administration, or related field.
- 5 years of experience in data governance, MDM, and metadata management, with a proven track record of building programs from the ground up at a leadership and senior architect level.
- Recognized as an industry thought leader in data governance and MDM, with a forward-thinking approach to leveraging AI for innovative data solutions.
- Deep expertise in data lakehouse architectures, data quality, master and reference data management, and semantic layer development.
- Exceptional relationship-building and change management skills, with the ability to engage diverse stakeholders, including IT, business, legal, and security teams.
- Proven ability to guide and develop data stewardship groups to ensure effective collaboration and execution of data governance responsibilities.
- Passion for AI and its applications in data governance, with a commitment to driving innovation beyond traditional methods.
- Strong communication and leadership skills, with the ability to articulate and execute a strategic vision for data governance, MDM, and semantic layer advancement.
- Ability to work on-site to foster collaboration with the enterprise architecture team and key stakeholders.
- Experience with regulatory compliance and data protection laws.
- Strong understanding of data governance frameworks and best practices.
- Ability to influence and drive change in complex environments.
- Familiarity with Agile and DevOps methodologies is a plus.
- Certified Data Management Professional (CDMP) preferred.
- Data Governance and Stewardship Professional (DGSP) preferred.
- DAMA-DMBOK certification preferred.
