Director, Data and AI Governance
Company: Breakthru Beverage Group
Location: Linthicum, MD
Summary
Breakthru Beverage Group (BBG) is seeking a strategic and hands-on Director, Data and AI Governance to define and lead the execution of its enterprise data governance strategy. In this pivotal role, you will establish the frameworks, policies and standards that position data as a trusted and strategic asset. Reporting to the VP of Data & AI, you will partner with business, technology and data leaders to embed governance into the fabric of the organization—driving stewardship, enabling AI readiness and ensuring responsible data use.
The ideal candidate has successfully led governance programs in large, complex organizations and combines strategic vision with a roll-up-the-sleeves mindset. You can build consensus at the executive level while operationalizing governance practices across data quality, observability, metadata, lineage, security and stewardship.
This role follows a hybrid work schedule, with two days in the office and three days working remotely. It may be based out of any Breakthru Beverage office location.
Responsibilities
Data Governance Strategy & Framework
Design and operationalize a comprehensive enterprise data governance framework, including operating models, councils, domains and decision rights aligned with business objectives.
Partner with IT, business and compliance leaders to embed governance into enterprise data strategies and drive organizational change through multi-tier governance bodies.
Define and implement standards for embedding governance capabilities into the enterprise data platform, ensuring support for metadata management, lineage tracking and data quality monitoring.
Data Quality, Stewardship & Enablement
Establish and scale data stewardship programs, building ownership and accountability for critical data assets.
Lead enterprise-wide data literacy and enablement initiatives to embed a culture of responsible data use.
Define and enforce data quality standards; implement profiling, cleansing, monitoring and observability tools; proactively detect, resolve and prevent issues while driving continuous improvement.
Identify and implement process improvements for data management. Collaborate with other departments to enhance data governance tools and systems. Monitor and report on data quality metrics and KPIs.
Data Technology, Tools & Security
Oversee the selection, implementation and maintenance of Master Data Management (MDM), Data Catalog and Data Quality & Observability tools, ensuring alignment with enterprise architecture.
Oversee role-based access controls (RBAC), encryption, anonymization and audits to safeguard sensitive data and ensure compliance with regulatory requirements.
AI Governance, Risk, & Compliance
Establish, implement and maintain AI governance frameworks, policies and controls to guide responsible AI development and deployment.
Extend governance to support AI/ML initiatives by defining policies for data ethics, explainability and responsible model usage.
Oversee the identification, assessment and mitigation of risks associated with AI systems, including bias, privacy, security and regulatory compliance.
Monitor and ensure compliance with evolving legal and regulatory requirements for AI across various jurisdictions.
Other duties, as assigned by the jobholder’s supervisor, may also be required.
Minimum Qualifications
Bachelor’s degree in in Computer Science, Information Systems, Data Science or related field.
10+ years of experience in data governance or data management within large, complex enterprises, including a minimum of 5 years leading teams.
Strong knowledge of data governance frameworks (e.g., DAMA-DMBOK, CDMC, DCAM), data quality management, data observability, metadata management and regulatory compliance.
Experience with modern data governance tools such as Collibra, Alation, Atlan and cloud data platforms (Snowflake, Databricks).
Expertise with SAP MDG, ECC or S/4HANA, particularly in master data management and governance.
Demonstrated ability to build executive consensus on data definitions and standards while driving adoption across diverse business units.
Proven track record of leading cross-functional teams, influencing senior stakeholders and driving organizational change.
Experience operationalizing data privacy, security, data observability and responsible AI practices.
Understanding core AI/ML concepts, algorithms, common biases and fairness metrics.
Advanced PC skills using MS Office and other various computer programs including presentation software.
Strong interpersonal skills, including teamwork, facilitation and negotiation.
Sound judgment, analytical and technical skills.
Excellent written and verbal communication skills.
Strong planning and organizational skills.
Preferred Qualifications
Master’s Degree.
Proficiency in AI-specific laws and standards like NIST.
Strong understanding of modern data architecture, engineering and cloud-native data platforms.
Experience in regulated industries (e.g., financial services, healthcare, consumer goods) with complex compliance requirements.
CAIGP, CAIG&CS, CIPP or CISA certification.
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