Senior Manager of Analytics Engineering, Workiva

• Bachelor's degree in Computer Science, Information Systems, or an equivalent combination of education and experience
• 8+ years of progressive experience in data engineering, analytics engineering, or a similar role, with a strong emphasis on building and managing complex data pipelines and data warehouses
• 5+ years of experience in a leadership or management role, with a proven track record of successfully leading, mentoring, and scaling a team of data/analytics engineers

Desirable

• We are seeking a highly skilled and experienced Sr Manager of Analytics Engineering to lead and grow our Analytics Engineering team
• In this critical role, you will be responsible for designing, building, and maintaining our core data infrastructure and analytical solutions that empower data-driven decision-making across the organization
• You will combine your deep technical expertise with strong leadership and mentorship skills to guide a team of talented analytics engineers, fostering a culture of excellence and innovation
• This is an exciting opportunity to shape our data landscape, implement best practices, and drive the strategic evolution of our analytics capabilities
• You will work closely with data scientists, business intelligence developers, product managers, and various business stakeholders to understand their data needs and deliver robust, scalable, and reliable data products
• Lead, mentor, and develop a team of engineers, fostering a high-performance culture, promoting best practices, and ensuring continuous skill development
• Lead and coordinate analytics engineering projects, collaborating closely with data scientists, data analysts, and other stakeholders. Translate business needs into technical requirements and manage the project lifecycle to deliver robust and scalable data solutions
• Drive recruitment and hiring for the Analytics Engineering team, identifying and attracting top talent
• Conduct performance reviews, provide constructive feedback, and support career growth for team members
• Define and champion the strategic roadmap for the analytics engineering function, aligning with overall business objectives and data strategy
• Identify opportunities for process improvement, automation, and innovation within the data ecosystem
• Stay abreast of industry trends, emerging technologies, and best practices in data warehousing, ETL/ELT, and analytics engineering
• Manage the lifecycle of automation projects, from requirements gathering to deployment
• Ensure on-time delivery of automation solutions within budget constraints
• Monitor and report on project progress, risks, and outcomes
• Collaborate with various teams, providing a cross-functional architectural data view to ensure end-to-end integration
• Champion best practices in code development, version control, testing, and deployment (CI/CD) for data pipelines and models
• Promote and implement principles of data observability, reliability, and maintainability
• Ensure proper documentation of data models, data lineage, and technical specifications
• Establish and enforce architectural patterns, data modeling standards and best practices for data ingestion, transformation, storage, and consumption across the data platform
• Work closely with external partners to understand automation requirements
• Communicate technical solutions to non-technical stakeholders
• Ensure user satisfaction and alignment with business objectives
• Ensure compliance with data security and regulatory requirements
• Identify and mitigate risks associated with system automations