Senior Manager of Analytics Engineering

• Own the strategy and roadmap for a hub & spoke data architecture, and drive alignment on it across domain teams
• Lead the team that builds and maintains the core Analytics layer in our data warehouse, ensuring it meets the needs of the domain teams building on top of it
• Set the vision for an AI-ready semantic layer that is extendable across business domains, and guide its execution
• Build, manage, and develop a team of analytics engineers — hiring, coaching, and setting growth paths
• Partner with senior business stakeholders, product leadership, and engineering leadership to align on data analytics priorities across the organization
• Represent EDS’s analytics strategy in cross-functional and leadership forums
• Partner closely with data engineering leadership to ensure platform scalability and coherent architecture across teams
• Provide technical and people leadership, mentorship, and career development to team members

Benefits

• Peer and company recognition programs
• Unlimited Vacation
• Sabbatical opportunity after five years
• Professional Development Reimbursement Program
• Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
• Various peer and company recognition programs
• 401(k) and matching
• Medical, Dental, & Vision Coverage
• Mental Health Benefits
• Subsidized backup childcare- 5+ years experience developing data modeling strategies at scale
• Thrives in a fast-paced environment and comfortable operating under ambiguity
• 8+ years experience in Business Intelligence, Analytics, and/or Data Engineering roles
• Demonstrated ability to influence senior stakeholders and drive alignment
• Highly proficient in SQL, with a focus on query design and performance
• Ability to understand the business needs behind data modeling decisions
• 2+ years experience managing or formally leading a team of analytics or data engineers
• 4+ years experience developing in dbt
• Experience with Sigma, Hex, and/or other BI dashboard tools
• Experience with Airflow
• Experience in cloud-based data warehouses, specifically Snowflake
• Experience with Python
• Experience building or scaling a data/analytics engineering function
• Experience in a SaaS or FinTech focused enterprise