Sr Data Intelligence Architect

About the role

We are seeking a Senior Data Intelligence Architect to join our Data Intelligence team within the Data, Analytics, and AI function of Information Technology. This role will be key in supporting, implementing, and enhancing our Data Intelligence & Governance (DIG) platform and enabling the business to find, trust, and understand enterprise data.

Responsibilities

• Act as a key advocate for the adoption and integration of data intelligence practices, ensuring that data cataloging, metadata acquisition, and governance are embedded across teams.
• Support and contribute to the implementation and configuration of our Data Intelligence & Governance platform (DIG), ensuring it aligns with business and governance needs.
• Lead and execute functional and technical configurations of the DIG platform, including custom workflows, metadata integration, and tagging strategies and methods.
• Collaborate with team members and stakeholders to define and enhance data cataloging, metadata standards, business glossary, and data lineage processes.
• Contribute to defining and measuring success metrics for data intelligence tools and practices to track adoption and continuous improvement.
• Provide expertise in data intelligence best practices, assisting in embedding standards into the enterprise data ecosystem.
• Actively engage in the Data Intelligence Community of Practice (CoP) by developing content, conducting internal enablement, and supporting data literacy initiatives.
• Ensure alignment with product management and team strategy while providing input and recommendations for tool enhancements and process improvements.

Requirements

• A bachelor's degree in Information Quality, Library Science, Information Technology, Computer Science, Business Intelligence, or related fields OR equivalent experience.
• A minimum of 6 years of experience in data governance, metadata management, data cataloging, data quality, or analytics, with a preference for 8+ years of experience in data intelligence and metadata-driven data management.
• A strong foundation in metadata management, information governance, and data lifecycle management.
• Experience with data catalog and governance platforms such as Alation or similar tools.
• Understanding of DMBoK principles (CDMP certification desired).
• Experience with functional and technical configurations in SaaS-based data intelligence platforms.
• Proficiency in SQL and familiarity with cloud-based data platforms (e.g., Databricks Unity Catalog).
• The proven ability to collaborate across technical and business teams, translating governance principles into practical solutions.
• The proven ability to advocate for data intelligence best practices and engage stakeholders in the value of data cataloging, metadata, and governance.
• Strong communication skills, with the ability to explain complex data concepts to both technical and business audiences.
• The proven ability to be a continuous learner who stays updated on best practices in metadata, governance, and data intelligence.
• The proven ability to complete complex projects quickly and adeptly with your understanding of the business priorities.
• The proven ability to build relationships and collaborate to get to the desired outcome.
• The proven ability to take accountability for results – acting with integrity and honoring commitments.
• The proven ability to have a thirst for learning – you are always looking for ways to learn and help one another grow.
• The proven ability to exhibit our core values.

Qualifications

• Proven experience in data intelligence and metadata-driven data management.
• Experience with data cataloging, business glossaries, metadata management, and governance tools.
• Passion for advocating for effective data intelligence practices that empower business and technical users.
• Ability to shape and evolve our data intelligence capabilities.

Skills

• Strong foundation in metadata management, information governance, and data lifecycle management.
• Experience with data catalog and governance platforms such as Alation or similar tools.
• Understanding of DMBoK principles (CDMP certification desired).
• Experience with functional and technical configurations in SaaS-based data intelligence platforms.
• Proficiency in SQL and familiarity with cloud-based data platforms (e.g., Databricks Unity Catalog).
• The proven ability to collaborate across technical and business teams, translating governance principles into practical solutions.
• The proven ability to advocate for data intelligence best practices and engage stakeholders in the value of data cataloging, metadata, and governance.
• Strong communication skills, with the ability to explain complex data concepts to both technical and business audiences.
• The proven ability to be a continuous learner who stays updated on best practices in metadata, governance, and data intelligence.
• The proven ability to complete complex projects quickly and adeptly with your understanding of the business priorities.
• The proven ability to build relationships and collaborate to get to the desired outcome.
• The proven ability to take accountability for results – acting with integrity and honoring commitments.
• The proven ability to have a thirst for learning – you are always looking for ways to learn and help one another grow.
• The proven ability to exhibit our core values.

Benefits

• Flexible work programs that support work life balance including a hybrid work model of 4 days in the office.
• Participation in our Total Rewards program with a competitive base salary, incentive plans, parental leave, health, dental, vision, retirement plan options with incredible employer match, generous paid time off plans, an engaging Wellness Program, and an Employee Assistance Program (EAP) with amazing resources.
• On-site Pub, access to cool brand clothing and swag, top events and, of course... free beer and beverages!
• Beverage Bonuses

Pay and Benefits

• Total Rewards Offerings: $109,100.00 - $143,200.00 (posting salary range)
• 15% target short term incentive
• $23,000 on average spent on benefits per employee, including but not limited to health, dental, vision, retirement with above market employer match, wellness incentives and EAP
• Paid time off (including holidays, vacation days and sick days)