Sr Technical Program Manager, Data
About The Position
Hyperscience transforms enterprise work by applying AI and automation to mission-critical document processes. Reliable, high-granularity customer data supports customer value and strategic decisions across product, engineering, and go-to-market teams. The Senior Technical Program Manager for Data serves as the operational and strategic anchor for Data Foundations initiatives. The role combines technical program management with product discovery, with approximately 60–70% of the focus on cross-functional program execution and 30–40% on product scoping and customer use-case analysis. The position leads cross-team execution without direct authority, operationalizes platform health assessments, and shapes product telemetry into trusted insights while helping build data-first capabilities into the Hyperscience platform.
Requirements
- 5–8 years of technical program management experience delivering complex, multi-team data programs in high-growth technology environments.
- Proficiently write SQL queries independently to explore schemas, validate datasets, and investigate anomalies.
- Foundational understanding of modern cloud data architectures and tools such as Snowflake, dbt, or Fivetran.
- Use AI-assisted developer utilities such as Claude Code, Cursor, or GitHub Copilot to accelerate analytical workflows and technical problem-solving.
- Communicate technical trade-offs clearly to executive leaders and software engineers while steering cross-functional alignment.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or Statistics, or equivalent practical experience.
Nice To Haves
- Practical experience conducting customer discovery, authoring requirements documents, and developing multi-quarter product roadmaps.
- Previous experience in data engineering, analytics engineering, or business intelligence.
- Ability to conduct exploratory analyses and lightweight automation workflows using Python.
- Experience with regulatory compliance, data privacy standards, and enterprise data cataloging programs.
- Professional credentials such as PMP, PMI-ACP, AWS Certified Data Analytics, or Snowflake SnowPro.
Responsibilities
- Lead enterprise data initiatives covering product telemetry, platform health metrics, and modern analytics infrastructure from inception through broad organizational adoption and enablement sessions.
- Coordinate across Engineering, Product, Sales, and Customer Operations to resolve technical dependencies and drive timely delivery without direct reporting lines.
- Author detailed technical requirements, user stories, and execution roadmaps that translate business needs into deliverable milestones.
- Partner with engineering teams to scale pipeline reliability, improve data event streaming, and establish clear service level agreements.
- Establish data governance frameworks and unified data definitions, and write requirements for automated anomaly detection.
- Implement transparent intake processes and milestone tracking, conduct team meetings and regular stakeholder updates, and identify delivery risks early.
Benefits
- Company-covered healthcare plans for employees and their families, including HSA, PPO, vision, dental, and mental health wellness plans.
- 401(k) through Empower with company match up to 6% of annual salary.
- Flexible-use PTO that is unaccrued and uncapped, subject to manager approval.
- 12 weeks of paid parental leave, with an additional 4 weeks paid for birthing parents.
- Opportunity to own company stock options.
- Work-from-home options and work-life flexibility.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
