
Director, Data Engineering, ML – AI
Measurabl
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Own and evolve Measurabl’s data platform architecture—warehousing, ETL/ELT pipelines, data quality frameworks, and data governance practices
- Drive data reliability and observability at scale
- Establish and enforce data contracts, lineage, and cataloging standards across the organization
- Evaluate and adopt modern data stack technologies (e.g., Snowflake, dbt, Airflow, Spark, Kafka)
- Define and execute the ML/AI product roadmap
- Lead development of production ML systems
- Champion the responsible adoption of LLMs and generative AI across the product
- Establish MLOps practices
- Build and scale sustainability-specific data models, carbon accounting frameworks, and benchmarking analytics
- Drive department engagement and performance through hands-on leadership
- Define and execute annual strategic plan/focus and department OKRs
Requirements
- 10+ years of hands-on experience in data engineering, ML engineering, or applied AI, with at least 3–5 years in a leadership role managing teams of 5+.
- 15+ years of hands-on and leadership experience for VP.
- Education, whether formal or informal, in computer science, data science, engineering, or a related quantitative field
- Proven track record of shipping ML/AI-powered product features at scale in a SaaS or data-platform environment
- Demonstrated leadership experience and ability to drive team success across data engineering, ML, and analytics functions
- Previous experience managing large-scale data and AI projects that interplay with multiple teams and/or stakeholders
- Experience in commercial real estate, sustainability/ESG, cleantech, or regulated data environments is a strong plus
- Familiarity with ESG frameworks and standards such as GRESB, GHG Protocol, ENERGY STAR, CSRD, or TCFD is a plus
- A combination of professional or educational experience (whether formal or informal) that affords you with the knowledge, skills, and abilities above
Benefits
- Flexible PTO
- Health and Dental Insurance + HSA options
- Pet Insurance
- Holiday Paid Time Off
- Matching 401k
- 100% fully remote
- Flexible work hours
- Monthly phone & internet reimbursement
- Stock options
- Bonus potential
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringML engineeringapplied AIETLELTdata quality frameworksdata governanceMLOpsdata modelingbenchmarking analytics
Soft Skills
leadershipteam managementstrategic planningperformance managementcross-team collaborationcommunicationengagement