Technical Product Manager, Data Oriented

Role Overview

• Get a deep understanding of business objectives to define the roadmap of the Data Science team
• Oversee multiple concurrent data science projects, ensuring on-time and on-budget delivery
• Create and maintain project roadmaps, timelines, and resource allocation plans
• Implement agile methodologies to improve team velocity and output quality
• Track KPIs and provide regular status updates to leadership
• Identify and mitigate project risks before they impact deliverables
• Manage and coordinate the data science team (currently 3 members)
• Provide clear direction and accountability for all team members
• Facilitate collaboration between data science, engineering, and client teams
• Conduct regular 1:1s and team meetings to ensure alignment
• Identify skill gaps and coordinate training or hiring needs
• Pressure test data science proposals and methodologies for feasibility
• Review and QA data analyses, dashboards, and research outputs
• Ensure technical deliverables meet quality standards and client requirements
• Collaborate with engineers on dashboard development using modern tools (including AI coding assistants like Claude)
• Drive adoption of AI tools to increase team productivity
• Oversee the research paper publication pipeline
• Ensure white papers and studies are accurate, impactful, and delivered on schedule
• Coordinate with marketing on research distribution and thought leadership
• Identify opportunities for new data studies based on client needs and market trends
• Serve as primary point of contact for data science project requests
• Translate complex technical concepts for non-technical stakeholders
• Manage expectations and communicate project status effectively
• Build strong relationships with internal teams and key clients

Requirements

• 5+ years of product management experience, preferably in data science or analytics
• Proven track record of managing technical teams and complex projects
• Experience with dashboard development and data visualization projects
• Background in managing research or publication processes (preferred)
• Ideally from a technical background
• Understanding of data science methodologies and statistical analysis
• Familiarity with BI tools and dashboard platforms
• Experience with AI tools and automation
• Proficiency with project management tools (Jira, Asana, ClickUp, etc.)
• Ability to create business and product Dashboards that surface metrics and insights with minimal oversight
• Basic understanding of Python, SQL, or similar (enough to assess feasibility)
• Familiarity with Agentic coding tools such as Claude Code, Codex and Cursors (preferred)

Tech Stack

• Python
• SQL

Benefits

• Health insurance
• Flexible work arrangements
• Professional development opportunities