Lead Engineer Data & AI
Listed on 2026-08-06
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IT/Tech
AI Engineer (Applied/Software), Data Engineering
$150000 - $200000
Located in Downtown Boston, this company invests in high‑growth sectors like AI, cybersecurity, data analytics, and more while partnering with founders to scale companies through their life cycle, from the growth stage to public listing. The company leverages its global portfolio to create a network effect in marketing and IT, giving portfolio firms access to shared resources and insights. This is not just investing in tech companies, it is building and operating a tech infrastructure and ecosystem that supports both its own investment processes and the growth of the portfolio.
What we are currently looking for is a Lead Engineer for Data and AI. This role is central to the firm’s technological strategy, a hands‑on technical leadership role that shapes how the company structures, leverages, and stores data to power its investment and AI platforms. This role ensures that the firms’ data is scalable, strong, and aligned with business transformation, leading to faster decision‑making, improved analytics, and better performance.
Sitting at the intersection of Data and AI, this role is a key enabler for the firms’ global operations!
Full Time, Hybrid
Required Skills & Experience- Bachelor’s degree in engineering, information systems, computer science, or a related field.
- Experience leading BI modernization efforts, KPI harmonization, and semantic standardization.
- Executive influence and technical culture leadership
- Enterprise data platform strategy & governance at scale
- Strong and experienced with AI-enabled systems & intelligent automation
- Proficient in SQL and Python, with a good understanding of data architecture, workflow technologies.
- Generative AI Integration, applying LLMs for automated documentation
- Knowledge of cloud platforms such as AWS, Azure, or GCP
Tech Breakdown
- 35% Enterprise Data Architecture & Strategy
- 25% Pipeline & Platform Design
- 15% ML & AI Integration
- 15% Cross Functional Leadership & Collaboration
- 10% Operational Execution
- 60% Hands On
- 25% Team Collaboration
- 15% Management Duties
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