Executive Director, Analytics Engineering at Lifelancer | US (Remote)
Company/Recruiter: Lifelancer
✦ AI Summary
Lifelancer is seeking a highly experienced and strategic Executive Director, Analytics Engineering to lead our data transformation and empower data-driven decision-making across the organization.
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MorrJobs editorial notes
Our reading of this this opportunity Executive Director, Analytics Engineering opening: it is a responsibility-led role with a detailed skills profile role for candidates who can show evidence that matches the responsibilities and requirements published by Lifelancer. The notes below are MorrJobs guidance based on this listing, not claims made by the employer.
What to demonstrate
Connect your CV or portfolio to 10+ years of experience in data engineering, analytics engineering, or a related field.; Proven track record of building and leading high-performing data teams.. Use one concrete example that shows you can Develop and execute the company's analytics engineering strategy, aligning with overall business objectives..
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Job Overview
The Executive Director, Analytics Engineering will provide technical leadership and strategic direction for Lifelancer’s analytics engineering function. This role is responsible for the design, development, and maintenance of robust, scalable, and efficient data infrastructure and pipelines that support advanced analytics, business intelligence, and data science initiatives.Key Responsibilities
- Develop and execute the company's analytics engineering strategy, aligning with overall business objectives.
- Lead, mentor, and grow a team of talented analytics engineers.
- Oversee the design, implementation, and optimization of data warehouses, data lakes, and ETL/ELT processes.
- Ensure data quality, integrity, and governance across all data platforms.
- Partner with business stakeholders to understand data needs and deliver solutions that drive measurable value.
- Champion best practices in data modeling, data architecture, and data platform development.
- Evaluate and implement new technologies and methodologies to enhance analytics capabilities.
Requirements
- 10+ years of experience in data engineering, analytics engineering, or a related field.
- Proven track record of building and leading high-performing data teams.
- Deep expertise in data warehousing, ETL/ELT, data modeling, and cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift).
- Proficiency in SQL, Python, and data orchestration tools (e.g., Airflow).
- Strong understanding of data governance and data quality principles.
- Excellent communication, collaboration, and stakeholder management skills.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
What We Offer
- The opportunity to shape the future of data analytics at a growing company.
- A remote-first work environment.
- Competitive compensation and benefits package.
- A collaborative and innovative company culture.
- Opportunities for professional growth and development.
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