Senior Associate, Strategy & Operations
VantAI
Python
Salary
💰 $225,000 - $275,000 per year
Job Level
Lead
Tech Stack
Python
About the role
- Establish and lead PURE’s enterprise AI/GenAI strategy and execution.
- Oversee Data Science, AI Engineering, and MLOps/AIOps teams to deliver production-ready, high-impact solutions.
- Lead, grow, and foster a culture of innovation, accountability, safe experimentation, and continuous learning across core teams.
- Partner with executive leadership to prioritize and roadmap high-impact AI/GenAI initiatives balancing near-term and long-term opportunities.
- Engage senior leaders to frame business problems and ensure AI initiatives align with enterprise priorities.
- Shape PURE’s long-term philosophy on building vs. buying AI solutions.
- Ensure data science and automation approaches are leveraged when appropriate.
- Collaborate with IT, Technology, Data Engineering, and Analytics Engineering to ensure scalable support for AI solutions.
- Lead PURE’s commitment to ethical and responsible AI, ensuring transparency, fairness, and trust.
- Anticipate and navigate evolving regulatory considerations for AI in insurance.
- Work with change management experts to drive enterprise-wide adoption and embed AI into workflows.
- Define and track key performance metrics to measure business value and ROI; communicate results to senior leadership.
- Foster a sustainable talent pipeline by defining career paths, supporting professional development, and succession planning.
- Stay at the forefront of emerging AI trends and represent the company as an industry thought leader.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field; advanced degree preferred.
- 10+ years of experience in data science, machine learning, and AI, with increasing responsibility over time.
- At least 3 years in a senior leadership role.
- Hands-on expertise with predictive modeling, deep learning, NLP, computer vision, or time-series analysis.
- Experience with generative and agentic AI, including deploying real-world use cases into production.
- Skilled at leading and mentoring multidisciplinary teams (data scientists, ML/AI engineers, MLOps engineers).
- Proven ability to deliver MVPs quickly, manage technical debt wisely, and scale solutions responsibly.
- Familiarity with P&C insurance or financial services is highly desirable.
- Strong appreciation for organizational change management and adoption.
- Experience making build vs. buy decisions.
- Adaptability with technology; not tied to specific tools.
- Demonstrated ability to measure and communicate business value and ROI.
- Experience with tools and stack: Databricks, dbt, GitHub, Hex, Arize, Python.
