10+ years in data engineering, architecture, and management, with 5+ years in leadership roles.
Proven experience in building and scaling data governance and MDM programs in large enterprises.
Deep knowledge of data modeling, warehousing, and cloud platforms (AWS, Azure, GCP).
Expertise in data governance tools (Collibra, Alation) and MDM solutions (Informatica, Reltio).
Strong understanding of data quality frameworks and remediation techniques.
Excellent communication skills for engaging with senior stakeholders.
Demonstrated ability to define operating models and stewardship structures.
Bachelor's degree in Computer Science or related field; advanced degree preferred.
Responsibilities
Design and evolve the enterprise data architecture to align with business goals.
Define and implement the data governance operating model, including policies and procedures.
Establish a data stewardship framework and mentor data stewards across domains.
Develop and execute a Master Data Management (MDM) strategy for trusted master data.
Create data quality metrics and processes to ensure ongoing data integrity.
Lead a team of data engineers and analysts, providing mentorship and performance management.
Collaborate with business leaders and IT to align data initiatives with regulatory requirements.
Implement data cataloging and metadata management tools for improved discoverability.
Drive adoption of data governance best practices through training and communication.
Report on governance program progress and KPIs to senior leadership.
Benefits
Opportunity to shape a comprehensive data governance and MDM capability from the ground up.
Leadership role with a blend of strategic vision and hands-on execution.
Collaboration with cross-functional teams and senior leadership.
Access to advanced data governance and MDM tools and technologies.
Professional development opportunities in a fast-paced environment.
Full Job Description
Job Description
Bristlecone Inc. is establishing a comprehensive data governance and master data management (MDM) capability from the ground up. As Senior Manager - Data Engineering & Data Architecture, you will design the enterprise data architecture, define the governance operating model, and lead a cross-functional team to ensure data quality, stewardship, and compliance across the organization. This role blends strategic vision with hands-on execution to turn data governance concepts into measurable, sustainable outcomes.
Responsibilities
Design and evolve the enterprise data architecture aligned with business objectives and technology standards.
Define and implement the data governance operating model, including decision rights, policies, and procedures.
Establish a data stewardship framework and recruit/coach data stewards across business domains.
Develop and execute a Master Data Management (MDM) strategy to create and maintain clean, trusted master data.
Create data quality metrics, monitoring processes, and remediation workflows to ensure ongoing data integrity.
Lead a team of data engineers, architects, and analysts, providing mentorship and performance management.
Collaborate with business leaders, IT, and compliance teams to align data initiatives with regulatory requirements.
Implement data cataloging, lineage, and metadata management tools to improve data discoverability.
Drive adoption of data governance best practices through training, communication, and change management.
Report on governance program progress, KPIs, and ROI to senior leadership.
Qualifications
10+ years of experience in data engineering, architecture, and data management, with at least 5 years in a leadership role.
Proven track record building and scaling data governance and MDM programs in large enterprises.
Deep knowledge of data modeling, data warehousing, and cloud data platforms (e.g., AWS, Azure, GCP).
Expertise with data governance tools (e.g., Collibra, Alation) and MDM solutions (e.g., Informatica, Reltio).
Strong understanding of data quality frameworks, metrics, and remediation techniques.
Excellent communication and influencing skills to work with senior business and technical stakeholders.
Demonstrated ability to define operating models, policies, and stewardship structures.
Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred.
Relevant certifications such as CDMP, DAMA, or cloud architecture credentials are a plus.
Strategic thinker with a hands-on approach, capable of delivering results in fast-paced environments.
