You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Shared by 
about 2 months ago
warning
Heads-up
Requirements and responsibilities
About MeasurablMeasurabl is the global leader in sustainability data for real estate—the world’s largest asset class. Our platform is trusted by owners, operators, lenders, and investors across 90+ countries to measure, manage, and reduce environmental impact. Over more than a decade, we have built one of the most comprehensive and proprietary datasets in the industry—powering insights across trillions of dollars in real estate assets. We have now entered our next chapter: evolving from a system of record into the system of intelligence for real estate sustainability. Data and AI are at the center of that transformation.The OpportunityWe are seeking a Director of Engineering, Data & AI to lead the development of Measurabl’s next-generation data platform and AI capabilities. This is a mission-critical, enterprise-level leadership role responsible for:Owning Measurabl’s data and AI platform strategy and executionBuilding and scaling a world-class Data & AI Engineering organizationEmbedding intelligence across every product and customer workflowTurning proprietary sustainability data into a durable competitive advantage and new revenue opportunitiesWhat You Will Do1. Own Data & AI Platform StrategyDefine and execute Measurabl’s end-to-end data and AI platform strategy aligned with company priorities.2. Architect and Scale a Modern Data PlatformOwn the architecture of Measurabl’s data platform and ensure scalability, quality, and efficiency.3. Lead Applied AI & Machine LearningDeploy production-grade ML and AI systems including predictive modeling, anomaly detection, and generative AI.4. Build Measurabl’s Data MoatLeverage proprietary datasets to create differentiated insights and products.5. Drive Customer Impact and Revenue GrowthTranslate AI capabilities into measurable customer value and new revenue streams.6. Build and Lead a World-Class OrganizationScale a high-performing team of engineers and data scientists.7. Drive Operational ExcellenceUse AI to improve productivity and reduce cost-to-serve.Overview:The Director, Data Engineering, ML & AI is responsible for leading Measurabl’s data platform strategy, machine learning capabilities, and AI-powered product experiences. This is a transformational hands-on leadership role spanning data infrastructure, applied ML/AI, and sustainability-specific analytics. The Director or VP partners with the peer leaders, CPTO, and Product leadership to drive company-wide AI strategy, embed intelligence into the Measurabl platform, and position Measurabl as the definitive AI-powered sustainability intelligence platform in commercial real estate. This role leads a team of data engineers, software engineers, ML engineers, and data scientists, fostering a culture of technical excellence, experimentation, and sustainability-driven impact.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 & InfrastructureOwn and evolve Measurabl’s data platform architecture—warehousing, ETL/ELT pipelines, data quality frameworks, and data governance practices that underpin every product capabilityDrive data reliability and observability at scale, ensuring sustainability datasets are accurate, timely, and trusted by customers and internal teams alikeEstablish and enforce data contracts, lineage, and cataloging standards across the organizationEvaluate and adopt modern data stack technologies (e.g., Snowflake, dbt, Airflow, Spark, Kafka) to optimize cost, performance, and developer experienceBe able to work hands-on and coach engineers on improving via AI driven engineering.Machine Learning & AI Product FeaturesDefine and execute the ML/AI product roadmap in close partnership with Product and Engineering leadership, identifying high-leverage opportunities to embed intelligence into the Measurabl platformLead development of production ML systems including anomaly detection for utility data, predictive energy modeling, automated data extraction (OCR/NLP), and intelligent benchmarkingChampion the responsible adoption of LLMs and generative AI across the product—from AI-assisted ESG reporting to conversational sustainability insightsEstablish MLOps practices including model monitoring, feature stores, experiment tracking, and CI/CD for models to ensure production reliabilityESG Data & AnalyticsBuild and scale sustainability-specific data models, carbon accounting frameworks, and benchmarking analytics that differentiate Measurabl in the marketPartner with Science and ESG teams to translate complex regulatory frameworks (GRESB, CSRD, GHG Protocol, ENERGY STAR) into scalable data productsEnable advanced portfolio-level analytics and scenario modeling that help investors and asset managers make decarbonization decisionsPeople LeadershipDrive department engagement and performance through hands-on leadership, mentoring, 1:1s, department collaboration, performance management programs, and engagement programsFoster a team culture focused on continuous improvement, learning, and development to ensure Measurabl is best positioned to deliver a world-class productPromote a transparent, data-driven culture of clear expectations and accountabilityWork with People Operations to identify strategies for growth, retention, and engagement within the Data Engineering and AI functionRecruit, develop, and retain top talent in a competitive market; build a team that reflects the diversity of the communities we serveFoster cross-department communication with Product, Engineering, Science, Customer Success, and Go-to-Market teams to build a cohesive product and company cultureBusiness ManagementDefine and execute annual strategic plan/focus and department OKRs aligned with company-wide AI and data strategyPartner with the CPTO and Directors across the company to translate business objectives into team strategy and actionsIdentify resourcing needs—including build vs. buy decisions for data and AI tooling—to meet current and future needs of the department and organizationManage vendor relationships and budgets for data infrastructure and AI/ML toolingEducation & Experience:We have identified the following programs, experience, and knowledge that have helped others find success in this role at Measurabl. We understand though that knowledge comes from many forms of learning and experiences. Above all, we consider a person’s potential impact in the role and value their unique path to this point in their career.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 fieldProven track record of shipping ML/AI-powered product features at scale in a SaaS or data-platform environmentDemonstrated leadership experience and ability to drive team success across data engineering, ML, and analytics functionsPrevious experience managing large-scale data and AI projects that interplay with multiple teams and/or stakeholdersExperience in commercial real estate, sustainability/ESG, cleantech, or regulated data environments is a strong plusFamiliarity with ESG frameworks and standards such as GRESB, GHG Protocol, ENERGY STAR, CSRD, or TCFD is a plusA combination of professional or educational experience (whether formal or informal) that affords you with the knowledge, skills, and abilities aboveSupervisory Responsibility:This role manages a team of data/SW engineers, ML engineers, and data scientists that will range in size and area of focus based on the needs of the organization. The Director may also manage one or more team leads or senior individual contributors. The team’s focus areas include data platform and infrastructure, applied machine learning, and ESG analytics.Perks & Benefits:Flexible PTOHealth and Dental Insurance + HSA optionsPet InsuranceHoliday Paid Time OffMatching 401k100% fully remoteFlexible work hoursMonthly phone & internet reimbursementStock optionsBonus potential
Optionally, you can add more information later (benefits, pre-screening questions, etc.)