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Vega is Hiring! VP of Data Science & Engineering for our direct Client located in Brooklyn, N.Y.
Our direct client is seeking to place VP of Data Science & Engineering. Seeking a dynamic and strategic leader with experience in IT, specializing in leading data-driven transformations for AI & machine learning initiatives. We are looking for a hands-on VP of Data Science & Engineering who can both build and architect while helping shape the future product and IP of the company.
This is not a pure leadership role. You will be in building pipelines, structuring data, and solving real problems, while also influencing what the company builds next.
What You ll Do:
Vega is Hiring! VP of Data Science & Engineering for our direct Client located in Brooklyn, N.Y.
Our direct client is seeking to place VP of Data Science & Engineering. Seeking a dynamic and strategic leader with experience in IT, specializing in leading data-driven transformations for AI & machine learning initiatives. We are looking for a hands-on VP of Data Science & Engineering who can both build and architect while helping shape the future product and IP of the company.
This is not a pure leadership role. You will be in building pipelines, structuring data, and solving real problems, while also influencing what the company builds next.
What You ll Do:
- Build and optimize data pipelines and infrastructure across portfolio companies
- Collaborate directly with CFOs, CEOs, and PE stakeholders to solve data challenges
- Lead and execute data integration, cleaning, and structuring efforts
- Help define and shape product direction and internal IP
- Identify opportunities for AI-enabled capabilities within the platform
- Collaborate closely with founders on client delivery and scaling execution
- Contribute to building a repeatable, scalable data product offering
- Strong experience in data engineering / data architecture
- Comfortable being hands-on (this is critical)
- Experience with tools such as Snowflake, data warehousing, ETL pipelines
- Ability to think beyond execution and contribute to product strategy
- Curiosity and interest in AI applications (deep AI expertise not required)
- Strong problem-solving mindset with a builder mentality
- Ability to operate in a fast-moving, ambiguous startup environment
- Experience working with private equity or portfolio companies
- Exposure to finance systems and FP&A data environments
- Having Startup or high-growth experience is a big plus!