Manager, Analytics Engineering

Our client is modernizing how enterprise data, analytics, and AI capabilities are designed, delivered, governed, and adopted. The Manager, Analytics Engineering leads teams that transform governed data into trusted, reusable, business-ready analytical products. This role is accountable for semantic quality, governed metrics, analytical model reliability, documentation standards, and stakeholder confidence across curated data products and reporting-ready assets. The role partners with Data Platform Engineering, AI, Product Management, and business teams to ensure data products are scalable, well-documented, cloud-ready, and tied to measurable business outcomes.

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, Business, or a related field preferred.
• Equivalent years of relevant work experience may be considered.

Our client is modernizing how enterprise data, analytics, and AI capabilities are designed, delivered, governed, and adopted. The Manager, Analytics Engineering leads teams that transform governed data into trusted, reusable, business-ready analytical products. This role is accountable for semantic quality, governed metrics, analytical model reliability, documentation standards, and stakeholder confidence across curated data products and reporting-ready assets. The role partners with Data Platform Engineering, AI, Product Management, and business teams to ensure data products are scalable, well-documented, cloud-ready, and tied to measurable business outcomes.

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, Business, or a related field preferred.
• Equivalent years of relevant work experience may be considered.

• 6+ years in analytics engineering, data engineering, business intelligence engineering, data products, cloud data platforms, or related fields.
• 3+ years leading analytics, data engineering, data product, or technical delivery teams, including direct management of a team of 3-4 analytics engineers.
• Experience supporting governed metrics, curated analytical models, semantic layers, data quality controls, and production-grade reporting or AI-enabling datasets.
• Retail, ecommerce, merchandising, pricing, supply chain, customer, marketing, finance, or adjacent industry experience preferred.

• Strong understanding of analytics engineering, semantic modeling, governed metrics, and reusable data product design.
• Hands-on or leadership experience with dbt or similar transformation frameworks, advanced SQL, Git-based code management, CI/CD, testing frameworks, documentation standards, peer review practices, and approved AI-enabled productivity, engineering, and code assist tools.
• Experience with cloud data platforms and cloud computing concepts across AWS, GCP, or Azure, including storage, compute, security, performance tuning, cost management, and production operations.
• Experience establishing standards for effective analytics delivery, including dashboard design, metric presentation, self-service enablement, stakeholder usability, performance, documentation, and consistent quality expectations across BI tools.
• Ability to evaluate, adopt, and coach teams on responsible AI tooling practices that improve engineering productivity, documentation quality, model development, and code quality without compromising governance, security, or review discipline.
• Ability to translate technical delivery into clear business outcomes, risks, decisions, and next steps, including the ability to deliver stakeholder-facing analytics through business intelligence tools such as Power BI, Looker, Micro Strategy, Tableau, or similar platforms.
• Strong…