Vice President of Data Platforms

At The ReWork Group, we partner with high-growth startups and forward-thinking companies to build the future.

Partnering with our B2B SaaS client, we're on the search for their

VP of Data Platforms

. This will be a key leadership role, responsible for defining, developing, and executing the company's comprehensive data platforms and AI strategy.

This leader will build and manage world-class Data Engineering, Data Science, Data Analytics, AI Platform and AI/ML Engineering teams, ensuring data is a core asset that informs all strategic decisions, optimizes operations, and creates new revenue streams. The ideal candidate is a strategic thinker with deep technical expertise, exceptional leadership skills, and a proven track record of delivering measurable business value through data and AI.

What You Will Own:

• Define and champion the company's multi-year data and AI strategy, aligning it with overall business objectives and growth plans.
• Identify high-impact opportunities for leveraging generative AI, machine learning and advanced analytics across product development, operations, sales, and marketing.
• Establish data governance policies, data quality standards, and ethical AI practices to ensure data integrity, security, and compliance.
• Recruit, mentor, and lead high-performing teams of Data Engineers, Data Analysts, Data Scientists, AI Infra, AI and ML Engineers.
• Foster a data-driven culture across the organization, promoting data literacy and the use of analytical insights in daily decision-making.
• Oversee the architecture, development, and maintenance of scalable and reliable data platforms (e.g., data warehouse, data lake, ML and AI Platform infrastructure).
• Drive the end-to-end lifecycle of AI/ML projects, from ideation and experimentation to deployment, monitoring, and measurable business impact.
• Manage budgets, technology selection, and vendor relationships related to data and AI infrastructure and tooling.

What You Bring:

• 10\+ years of progressive experience in data governance, AI, machine learning, data science, data engineering, or a related fields, with 5\+ years in a senior leadership role (Sr Director, VP) managing large, diverse technical teams.
• Proven experience defining and executing a successful enterprise-wide data and AI strategy that delivered significant, quantifiable business outcomes.
• Deep expertise in modern data architecture, cloud-based data platforms, and data warehousing.
• Extensive experience with the entire machine learning and GenAI lifecycle, delivering to users at scale.