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hyperscience - Sr Technical Program Manager, Data

Remote - [Remote] US$42k - $42k+ Equity2d ago

Requirements

• Technical Program Experience: Demonstrate 5 -8 years of technical program management experience successfully delivering complex, multi-team data programs in high-growth technology environments. • Hands-On Data Literacy: Write proficient SQL queries independently to explore schemas, validate datasets, and investigate anomalies without waiting on engineering support. • Modern Data Stack Knowledge: Apply foundational understanding of modern cloud data architectures, including tools like Snowflake, dbt, or Fivetran. • AI Tool Fluency: Utilize AI-assisted developer utilities, such as Claude Code, Cursor, or GitHub Copilot, to accelerate analytical workflows and technical problem-solving. • Stakeholder Management: Communicate technical trade-offs clearly to both executive leaders and software engineers while steering cross-functional alignment. • Educational Foundation: Possess a Bachelor’s degree in Computer Science, Information Systems, Engineering, Statistics, or equivalent practical experience. • Product Management Exposure: Bring practical experience conducting customer discovery, authoring requirement documents, and developing multi-quarter product roadmaps. • Data Engineering Background: Leverage past experience in data engineering, analytics engineering, or business intelligence prior to technical program management. • Python Proficiency: Ability to conduct exploratory analyses and lightweight automation workflows using Python. • Governance Expertise: Navigate regulatory compliance, data privacy standards, and enterprise data cataloging programs. • Industry Certifications: Hold recognized professional credentials such as PMP, PMI-ACP, AWS Certified Data Analytics, or Snowflake SnowPro.

Responsibilities

• End-to-End Program Ownership: Lead enterprise data initiatives across product telemetry, platform health metrics, and modern analytics infrastructure from inception through broad organizational adoption and enablement sessions. • Cross-Functional Alignment: Coordinate across Engineering, Product, Sales, and Customer Operations to resolve technical dependencies and drive timely delivery without direct reporting lines. • Product & Technical Scoping: Author detailed technical requirements, user stories, and execution roadmaps that translate complex business needs into deliverable milestones. • Data Architecture & Reliability: Partner with engineering teams to scale pipeline reliability, improve data event streaming, and establish clear service level agreements. • Governance & Standardization: Establish reliable data governance frameworks, unified data definitions, and write requirements for automated anomaly detection. • Delivery Operations: Implement transparent intake processes and milestone tracking, conduct team meetings and regular stakeholder updates to identify risks early and ensure predictable delivery.

Benefits

• Hyperscience is a people-first company, committed to empowering our team to make a tangible impact. Our core values, including "Innovation that Transforms," "Lead with Trust," and a "Win Together" ethos, guide our collaborative culture. As a global organization, our benefits vary by region, but we are united by a fundamental belief in work-life flexibility. We support our team with flexible PTO and work-from-home options, recognizing the importance of a healthy balance between professional and personal life. • Health & Wellness: Company-covered Healthcare Coverage plans for you and your family, including HSA, PPO, Vision, Dental and Mental Health Wellness plans. • Retirement & Financial: 401(k) through Empower with company match up to 6% of your annual salary. • Paid Time Off (PTO): Flexible-use PTO, unaccrued and uncapped, subject to manager approval. • Parental Leave: 12 weeks of paid parental leave, with an additional 4 weeks paid for birthing parents. • Equity: Opportunity to own Stock Options in the company.