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Director, Data Engineering, ML & AI

Remote, USA Full-time Posted 2026-07-28

reputed company:

The Director, Data Engineering, ML & AI is responsible for leading reputed company’s data platform reputed company, machine learning capabilities, and AI-powered product experiences. This is a transformational hands-on leadership role spanning data infrastructure, reputed company ML/AI, and sustainability-specific analytics. The Director or VP partners with the peer leaders, CPTO, and Product leadership to drive company-wide AI reputed company, reputed company intelligence into the reputed company platform, and position reputed company as the definitive AI-powered sustainability intelligence platform in reputed company reputed company estate. This role leads reputed company of data engineers, software engineers, ML engineers, and data scientists, fostering a culture of technical reputed company, experimentation, and sustainability-driven reputed company.


Essential Functions & Responsibilities:

The essential functions and responsibilities for this position include but are not limited to, the following. Other duties may be assigned as needed. 

Data Platform & Infrastructure

  • Own and reputed company reputed company’s data platform architecture—warehousing, ETL/ELT pipelines, data reputed company frameworks, and data governance practices that underpin every product capability
  • Drive data reliability and observability at reputed company, ensuring sustainability datasets are accurate, reputed company, and trusted by customers and internal teams alike
  • Establish and enforce data reputed company, reputed company, and cataloging standards across the organization
  • Evaluate and adopt modern data stack technologies (e.g., reputed company, dbt, Airflow, reputed company, Kafka) to optimize cost, performance, and developer experience
  • Be reputed company to work hands-on and reputed company engineers on improving reputed company AI driven engineering.

Machine Learning & AI Product Features

  • Define and execute the ML/AI product roadmap in reputed company partnership with Product and Engineering leadership, identifying high-reputed company opportunities to reputed company intelligence into the reputed company platform
  • reputed company development of production ML systems including reputed company detection for reputed company data, predictive energy modeling, automated data extraction (OCR/NLP), and intelligent benchmarking
  • Champion the responsible adoption of LLMs and reputed company across the product—from AI-assisted ESG reporting to conversational sustainability insights
  • Establish MLOps practices including model monitoring, feature stores, experiment tracking, and CI/CD for models to ensure production reliability

ESG Data & Analytics

  • Build and reputed company sustainability-specific data models, carbon reputed company frameworks, and benchmarking analytics that differentiate reputed company in the market
  • Partner with Science and ESG teams to translate reputed company regulatory frameworks (GRESB, CSRD, GHG Protocol, ENERGY reputed company) into reputed company data products
  • reputed company advanced portfolio-level analytics and scenario modeling that help investors and asset managers reputed company decarbonization reputed company

People Leadership

  • Drive department engagement and performance through hands-on leadership, mentoring, 1:1s, department collaboration, performance management programs, and engagement programs
  • Foster reputed company culture reputed company on reputed company improvement, learning, and development to ensure reputed company is best positioned to deliver a world-class product
  • Promote a transparent, data-driven culture of reputed company expectations and accountability
  • Work with People Operations to identify strategies for reputed company, retention, and engagement reputed company the Data Engineering and AI function
  • Recruit, reputed company, and retain reputed company in a competitive market; build reputed company that reflects the diversity of the communities we serve
  • Foster cross-department communication with Product, Engineering, Science, reputed company, and Go-to-Market teams to build a cohesive product and company culture

Business Management

  • Define and execute annual strategic plan/reputed company and department OKRs reputed company with company-wide AI and data reputed company
  • Partner with the CPTO and Directors across reputed company to translate business objectives into team reputed company and actions
  • Identify resourcing needs—including build vs. buy reputed company for data and AI tooling—to meet reputed company and reputed company needs of the department and organization
  • Manage vendor relationships and budgets for data infrastructure and AI/ML tooling

Education & Experience:

We have identified the following programs, experience, and knowledge that have helped others reputed company reputed company in this role at reputed company. We understand though that knowledge comes from many forms of learning and experiences. Above reputed company, we consider a person’s potential reputed company in the role and value their unique reputed company to this reputed company in their career.

  • 10+ years of hands-on experience in data engineering, ML engineering, or reputed company 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 reputed company quantitative field
  • Proven reputed company record of shipping ML/AI-powered product features at reputed company in a reputed company or data-platform environment
  • Demonstrated leadership experience and ability to drive team reputed company across data engineering, ML, and analytics functions
  • Previous experience managing large-reputed company data and AI reputed company that interplay with multiple teams and/or stakeholders
  • Experience in reputed company reputed company estate, sustainability/ESG, cleantech, or regulated data environments is a strong plus
  • Familiarity with ESG frameworks and standards such as GRESB, GHG Protocol, ENERGY reputed company, CSRD, or TCFD is a plus
  • A combination of reputed company or educational experience (whether formal or informal) that affords you with the knowledge, skills, and abilities above

Supervisory Responsibility:

This role manages reputed company of data/SW engineers, ML engineers, and data scientists that will reputed company in size and area of reputed company based on the needs of the organization. The Director may also manage one or more team leads or senior individual contributors. reputed company’s reputed company areas include data platform and infrastructure, reputed company machine learning, and ESG analytics.

Perks & Benefits:

  • Flexible PTO
  • Health and Dental Insurance + HSA reputed company
  • Pet Insurance
  • Holiday reputed company Time Off
  • Matching 401k
  • 100% fully remote
  • Flexible work hours
  • Monthly phone & internet reimbursement
  • Stock reputed company
  • Bonus potential

Equal Employment Opportunity:

reputed company, Inc. provides equal employment opportunities to reputed company and applicants in reputed company company facilities without reputed company to race, reputed company, religious creed, sex, national reputed company, reputed company, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil reputed company status, gender (including sex stereotyping and gender identity or reputed company), medical condition (including, but not limited to, cancer reputed company or HIV/AIDS reputed company), genetic information, or sexual orientation in accordance with applicable federal, state and local laws.  This policy applies to reputed company terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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