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Technical Manager, Strategy Research Analytics

Job in Berkeley, Alameda County, California, 94709, USA
Listing for: The Voleon Group
Full Time position
Listed on 2025-12-24
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 225000 - 255000 USD Yearly USD 225000.00 255000.00 YEAR
Job Description & How to Apply Below

Voleon is a technology company applying state‑of‑the‑art machine learning to real‑world financial problems. With over a decade of leadership in our industry, we've built a multibillion‑dollar asset management firm and continue to drive ambitious innovations. Voleon is a technology company applying state‑of‑the‑art machine learning to real‑world financial problems. With over a decade of leadership in our industry, we’ve built a multibillion‑dollar asset management firm and continue to drive ambitious innovations.

As Technical Manager, Strategy Research Analytics, you will lead a high‑impact team responsible for maintaining and evolving Voleon’s core analytics pipelines and data models — ensuring reliability today while building toward a world‑class analytics platform that accelerates our core strategy research velocity and insight generation. Operating at the intersection of research, engineering, and data infrastructure, you’ll translate the needs of researchers and data scientists into robust, scalable, and reproducible analytics systems.

You’ll collaborate with leaders across Research, Engineering, Prod Ops, and Data Infrastructure to define a clear roadmap for analytics enablement, drive operational excellence, and empower data scientists to focus on high‑value research analysis. You’ll drive team execution, clarify ownership boundaries, and ensure visibility and accountability for a growing, mission‑critical capability within the research organization.

Your Team

The Research Analytics team sits within Research Engineering and works closely with Data Scientists and Researchers across all of Voleon's core strategies. We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. You’ll work alongside experienced engineers recruited from leading technology companies and selected from the sharpest minds at university programs.

The

team's mission is to:
  • Deliver reliable, monitored, and observable analytics pipelines that underpin our most critical research insights.
  • Design and maintain a consistent, queryable analytics data model that supports scalable, reproducible analysis in a distributed compute environment.
  • Enable modern analytical tooling (Presto, Spark, Dask, Polars) to improve accessibility and speed of research workflows.
  • Promote data transparency, discoverability, and documentation as first‑class engineering objectives.
Responsibilities
  • Recruit, mentor, and develop a diverse team of engineers and data specialists, starting with a small core team that will grow to meet the evolving needs of the organization. Build capacity not only to maintain existing pipelines but also to develop and execute on a forward‑looking vision for a scalable, world‑class analytics platform
  • Work with existing stakeholders to define and communicate a long‑term strategy for analytics infrastructure and enablement, building a vision that solves real‑world problems for our data scientists and extends toward a standardized, industry‑class analytics platform
  • Lead team execution in a complex, fast‑paced research environment, reducing friction and optimizing workflows
  • Influence laterally across engineering and research teams to align roadmaps, shape priorities, and drive shared goals
  • Ensure robust communication of team progress, creating transparency and credibility with senior stakeholders
  • Oversee consistent, well‑documented, and queryable data models that power research today, and extend these frameworks toward the broader vision of a unified analytics platform
Requirements
  • Bachelor’s degree in Computer Science or equivalent professional experience
  • 3+ years of proven experience managing geographically distributed software engineering teams
  • 3+ years of experience managing engineering or data teams focused on analytics or data infrastructure
  • Demonstrated success managing through ambiguity, influencing without direct authority, and leading complex cross‑team initiatives
  • Exceptional stakeholder management and communication skills, capable of clearly articulating vision, progress,…
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