[Hiring] Data Governance Architect @Lovelytics

Role Description

We’re looking for a Data Governance Architect to formulate data and AI governance strategies aligned with business objectives and industry best practice for our clients.

• Define technical strategies, architect data platforms, and guide delivery teams to implement best-in-class ingestion, transformation, and storage solutions on the cloud.
• Partner with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ Governance expertise.
• This role is open to remote candidates in the U.S. and Ontario, Canada, or in any of our offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto!

• Data and AI Governance Strategy: Formulating data and AI governance strategies aligned with business objectives and industry best practices.
• Create, socialize, and implement data governance policies, procedures, and frameworks for clients while ensuring compliance.
• Introduce emerging technologies and methodologies for completion of data governance tasks and capabilities.
• Develop and execute data governance and/or AI Governance strategy that improved data discoverability, data quality, accessibility, usability, AI use case evaluation, and AI readiness.
• Lead the successful migration of complex data architecture from on-premises to cloud environments.
• Establish and enforce data governance practices resulting in improved data security and compliance.
• Introduce containerization to the organization, enhancing scalability and deployment efficiency.
• Mentor engineers, review architectures and code, and guide teams through implementation.
• Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for data engineering engagements.
• Create technical blueprints and recommend tools, frameworks, and design patterns aligned to client needs.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data governance with 4+ years in a client-facing role, preferably in a professional services firm.
• Mastery in data governance capabilities as defined by the DAMA-DMBOK.
• Certified in governance toolsets such as Unity Catalog, Atlan, or Anomalo.
• Expert knowledge of Databricks and Spark (required).
• Experience creating proofs of concept, technical presales presentations, and pricing for engagements.
• Strong client-facing communication skills with the ability to influence technical and executive stakeholders.
• A tech stack of Google Workspace (email, tools), MacOS, Slack (internal comms), Atlassian.