Job Description

At Doosan Bobcat, our success is powered by our people. Through our winning culture and one global team working together, we deliver the best products and service to our customers – and make the world a better place. Join our team today and start building your career with a worldwide leader.

Job Information

The Enterprise Data Governance Manager Sr is expected to establish, operationalize, and lead enterprise data foundations that support both AI capabilities and traditional reporting/analytics. This role is responsible for ensuring data – structured, semi-structured, and unstructured - is trusted, well‑defined, discoverable, secure, and ready for consumption.

Success in this role requires building practical frameworks, clear ownership models, and repeatable practices that enable teams to move fast with confidence and effective risk management.

Role & Responsibility

Enterprise Data Governance Strategy

• Define and own the enterprise data governance strategy spanning structured, semi‑structured, and unstructured data. Includes the establishment of Bobcat’s ontology.
• Design, document, and reinforce enterprise data usage practices including data definitions, quality expectations, lineage transparency, and access controls so Bobcat teams can effectively consume data for AI, analytics, dashboards, and operational reporting.
• Work closely with Legal and risk management teams to support data privacy and compliance requirements while reinforcing innovation, speed, and usability
• Ensure strategic alignment with Bobcat’s Enterprise Master Data Management team initiatives

Enable AI ‑ Driven Data Use

• Partner with AI Center of Excellence and Digital teams to ensure data inputs and outputs are traceable, explainable, and trusted
• Work directly with AI and analytics builders to ensure data is used responsibly, efficiently, and at enterprise scale by:
  • Applying data classification standards to AI use cases so teams understand what data can be used, how, and under what conditions
  • Identifying data‑related risks early (e.g., privacy, sensitivity, misuse, localization) and guiding teams toward compliant design choices
  • Surfacing opportunities to streamline data usage, reducing redundant data pipelines, duplicate feature engineering, and inconsistent approaches
  • Shaping globally scalable data designs, ensuring AI solutions account for regional data requirements, reuse patterns, and future expansion

Shape Structured & Unstructured Data Practices

• Design and maintain enterprise approaches for identifying and capturing business definitions, metrics logic and semantic consistency
• Define how different data types are classified, owned, accessed, and refreshed
• Work with Bobcat teams to successfully implement defined data practices

Clarify Ownership & Decision Rights

• Establish clear accountability and operating model across data domains aligning business, AI and Digital stakeholders to maximize the value of Bobcat’s data
• Embed data accountability into delivery teams and workflows

Drive Adoption & Change

• Connect and build trusted relationships with key stakeholders from various Bobcat Lines of Business 
• Lead awareness and enablement sessions so Bobcat teams understand how to classify and use data responsibly and effectively
• Replace policy‑heavy approaches with clear guidance, examples, and tooling alignment
• Put mechanisms in place to identify, surface, and address data quality issues
• Track and demonstrate impact through improved trust, reuse, and decision quality

Job Requirement

• Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• 10+ years of experience in data, analytics, AI, or information management roles.

• Proven experience establishing data governance policies and designing secure, high-availability data systems.

• Demonstrated expertise in establishing and operating enterprise data governance frameworks
• Direct experience in identifying, storing and managing metadata and data lineage.
• Strong understanding of analytics platforms, semantic layers, and ecosystems supporting both AI and traditional analytics.
• Experience supporting both structured and unstructured data usage in AI and knowledge systems.
• Strong leadership, change management, mentoring, and communication skills with a demonstrated ability to influence cross‑functional teams.
• Prosci or equivalent change management certification preferred.
• Comfortable working in an ambiguous, fast-paced, and changing environment
• Ability to balance immediate business needs with long‑term enterprise data governance strategy.
• Experience working in Agile delivery environments.
• Familiarity with modern data platforms and tooling such as Snowflake and dbt.
• Willingness to travel up to 25%.

As a part of the Doosan Group, which employs more than 43,000 people in 38 countries worldwide, the company offers its customers products and solutions to help build stronger businesses and communities. Based in Seoul, South Korea, with its North America headquarters in West Fargo, North Dakota, Doosan Bobcat is a leading global manufacturer of construction, agriculture, landscaping and grounds maintenance equipment, attachments and services. The company is committed to empowering people to accomplish more.

Doosan is an Equal Opportunity Employer, including Individuals with Disabilities and Protected Veterans.  All qualified applicants will receive consideration for employment without regard to sex, age, race, color, religion, creed, citizenship status, national origin, disability, marital status, sexual orientation, gender identity, protected veteran status, or any other status or characteristic protected by law. If you have a disability or special need that requires accommodation, please contact us at 701-476-4263. 

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Pay Transparency:  Minimum Pay: $165,464.00 - Maximum Pay: $202,234.00

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