Data Governance Lead

Role Description

Hitachi Vantara is looking for a knowledgeable data governance professional to continue maturing the existing data governance. The role focuses on deeper engagement with business partners and developing the existing Enterprise Data Governance and Master Data Management team. This role will help fully implement a data quality initiative and work closely with other data teams to support and build the data catalog and data quality tools. This role works collaboratively with several teams, including Legal, Privacy, and Cybersecurity to ensure an enterprise approach to data throughout the organization.

In this role you will:

• Continue the work with business areas to build out business glossaries and data catalog.
• Develop a process for the approval of technology standards.
• Write data governance policies.
• Oversee the further adoption of data governance efforts.
• Partner with legal and information security teams to fulfill commitments related to reducing Data Management risks.

As the role requires close collaboration with senior-level executives, it is essential to be an excellent communicator who can drive the process to govern data at enterprise scale.

Qualifications

• 8 years’ experience working in data governance, data quality, analytics, or data management roles.
• 12 years of overall experience.
• Expert understanding of data concepts such as data definitions, metadata, lineage, and quality.
• Ability to work cross-functionally and translate governance concepts into practical guidance and business value.
• Strong communication and facilitation skills.
• Strong experience using data catalogs or metadata management tools.
• Strong experience implementing a data quality program.

Requirements

• Support the implementation of the Data Governance strategy.
• Partner with the Data Privacy function to support compliance with all applicable data privacy regulations and policies.
• Collaborate with Business Operations, Cybersecurity, and IT to identify, recommend and/or implement processes and technologies that support successful deployment of the data governance strategy across the enterprise.
• Align tactical initiatives to the data governance strategy across projects and programs.
• Implement data governance strategy, controls, and capabilities including data catalog, metadata management, data quality certification, data quality metrics, reference data management, data domain hierarchy and taxonomy management, reporting and analytics governance, data classification and tagging, data architecture, and data modeling.
• Support Master Data Management in keeping current service levels and enhancing MDM capabilities.
• Enhance the data literacy program to educate executives and functional teams on the importance of data and drive a data-driven organizational culture.
• Support the execution of the data governance vision, mission, strategy, and charter.
• Lead the definition and documentation of Data Governance processes.
• Create or support the creation of data and system flow documentation and process maps.
• Lead working sessions with operational and information system owners on the onboarding of new data assets.
• Identify data quality “hot spots” or points of exposure and determine strategies to improve data quality controls.
• Collaborate with the data lake development team to implement guidelines and controls on data.
• Chair Data Governance Steering Committee responsible for defining data policies and standards.
• Manage stakeholder communication and progress reporting at various levels of the organization.
• Continuously identify or support opportunities to streamline and simplify the execution of Data Transformation initiatives.
• Lead the design, build, and execution of data quality standards and data protection standards.
• Take accountability for setting documentation and enforcement policies and procedures.
• Lead the creation of defining metrics and KPIs as part of a Data Quality Scorecard.
• Forge strong working relationships with business partners to analyze root cause for data defects and duplicate data issues.
• Assist in the implementation of data security measures.
• Act as a liaison to the business on the quality of data and outstanding gaps.

Benefits

• Industry-leading benefits, support, and services that look after your holistic health and wellbeing.
• Flexible arrangements that work for you (role and location dependent).
• A sense of belonging and autonomy as you work alongside talented people.