Senior Technical Program Manager, Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead enterprise data projects encompassing product telemetry, platform health metrics, and contemporary analytics infrastructure from their inception to organizational acceptance and empowerment.

• Collaborate with Engineering, Product, Sales, and Customer Operations to address technical dependencies and ensure timely delivery, despite lacking direct reporting lines.

• Create technical specifications, user stories, and execution roadmaps that translate intricate business requirements into actionable milestones.

• Work alongside engineering teams to enhance pipeline reliability, optimize data event streaming, and set up service level agreements.

• Develop data governance frameworks and establish unified definitions for data.

• Draft requirements for automated anomaly detection systems.

• Implement clear intake processes and monitor milestone progress.

• Facilitate team meetings and regular updates for stakeholders to proactively identify risks and ensure consistent delivery.

• Allocate approximately 60–70% of time to cross-functional program execution and 30–40% to product scoping and analysis of customer use cases.

• Transform product telemetry into reliable insights while integrating data-first capabilities into the Hyperscience platform.

⛳️ Requirements

• 5–8 years of experience in technical program management, successfully delivering complex, multi-team data initiatives within high-growth technology settings.

• Ability to independently write SQL queries to explore schemas, validate datasets, and investigate anomalies.

• Fundamental understanding of modern cloud data architectures, including Snowflake, dbt, or Fivetran.

• Proficient in AI-assisted development tools such as Claude Code, Cursor, or GitHub Copilot.

• Capable of conveying technical trade-offs to executive leaders and software engineers.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or Statistics, or equivalent relevant experience.

• Bonus: Experience in customer discovery, creating requirements documentation, and developing multi-quarter product roadmaps.

• Bonus: Background in data engineering, analytics engineering, or business intelligence.

• Bonus: Proficiency in Python for exploratory analysis and lightweight automation tasks.

• Bonus: Familiarity with regulatory compliance, data privacy standards, and enterprise data cataloging initiatives.

• Bonus: Possession of recognized professional certifications such as PMP, PMI-ACP, AWS Certified Data Analytics, or Snowflake SnowPro.

🏝️ Benefits

• Comprehensive healthcare plans for employees and their families, including HSA, PPO, vision, dental, and mental health wellness options.

• 401(k) plan through Empower with a company match of up to 6% of annual salary.

• Flexible paid time off (PTO) that is unaccrued and uncapped, subject to manager approval.

• 12 weeks of paid parental leave, with an additional 4 weeks of paid leave for birthing parents.

• Chance to obtain stock options in the company.

• Equity ownership available for every full-time employee.

• Opportunities for bonuses.

• Flexible remote work options.

• Emphasis on work-life balance.