Data Operations Program Manager

INSPYR Solutions; Seattle (WA, CA); In loco; USD 76.000 - 103.000; Tempo pieno

Descrizione del lavoro

INSPYR Solutions seeks an Engineering Program Manager to join the Human-Centered AI (HAI) EPM team, supporting the Data Operations team in Seattle or Cupertino. This 12-month engagement drives programs at the intersection of data operations, data engineering, and internal tooling for GenAI and ML systems.

The role requires 5+ years in engineering or tech program management, strong ability to translate needs into clear roadmaps, and collaboration with engineering, data science, and research

Competenze

• 5+ years of experience in engineering program management or a related role.
• Experience developing and managing technical roadmaps and prioritization frameworks.
• Ability to translate ambiguous operational needs into clear requirements, milestones, and execution plans.
• Excellent written and verbal communication across engineering teams and leadership.
• Familiarity with ML lifecycle and GenAI feature development, incl. human evaluation.

Mansioni

• Drive end-to-end program execution for HAI Data Operations and related roadmaps.
• Partner with Data Operations and Engineering to maintain a clear technical roadmap.
• Lead prioritization across data operations and tooling requirements.
• Improve data management, pipelines, processing, and tooling for AI/ML development.
• Define requirements for internal data and developer tooling with engineers.
• Understand architecture, APIs, data flows, and tooling to identify risks and improvements.
• Facilitate architecture reviews and ensure follow-up actions are completed.
• Collaborate with research, data science, and other teams to meet GenAI needs.

Conoscenze

Engineering PM

Roadmap planning

Cross-functional leadership

GenAI knowledge

Python/Java basics

Data operations understanding

Strumenti

SQL

Spark

Airflow

Kubernetes

Descrizione del lavoro

Title: Engineering Program Manager
Location: Seattle or Cupertino
Duration: 12 months
Compensation: $55-75/hr
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
About this Featured Opportunity:
We are looking for an Engineering Program Manager to join the Human-Centered AI (HAI) EPM team, supporting their Data Operations team. This role will drive programs at the intersection of data operations, data engineering, and internal tooling that enable the development and evaluation of Generative AI (GenAI) and machine learning systems. The EPM will partner closely with engineering, data operations, research, and cross-functional teams to define roadmaps, prioritize investments, improve tooling and workflows, and drive complex programs from planning through execution.

The ideal candidate has a strong background in AI/ML domain knowledge, ML workflows, Human evaluation and annotation, technical program management, data management, data engineering, and tooling. They do not need to be a software engineer but should have sufficient technical depth to engage effectively with engineers on system architecture, data pipelines, APIs, technical dependencies, and engineering tradeoffs.

• Drive end-to-end program execution for HAI Data Operations, including roadmap development, prioritization, planning, milestone tracking, dependency management, and risk mitigation.
• Partner with Data Operations and Engineering leadership to build and maintain a clear technical roadmap, balancing operational needs, tooling investments, engineering capacity, and broader HAI priorities.
• Lead prioritization across competing data operations and tooling requirements, helping teams make clear tradeoffs and focus engineering resources on the highest-impact work.
• Drive programs focused on improving and scaling data management, data pipelines, data processing, and operational tooling supporting AI/ML development and evaluation.
• Partner closely with engineers to define requirements for internal data and developer tooling, translating operational needs and pain points into clear technical requirements and execution plans.
• Develop a strong understanding of the team's technical architecture, systems, APIs, data flows, and tooling to identify dependencies, risks, bottlenecks, and opportunities for improvement.
• Facilitate technical discussions and architecture reviews, ensuring decisions, dependencies, tradeoffs, and follow-up actions are clearly understood and driven to closure.
• Work with engineering teams to improve the reliability, scalability, efficiency, and usability of data operations workflows and supporting platforms.
• Identify opportunities to automate and streamline manual or repetitive data operations processes through improved tooling and workflows.
• Coordinate across engineering, research, data science, and other HAI teams to ensure data and tooling capabilities meet the needs of GenAI development and evaluation programs.
• Establish clear program metrics and mechanisms to measure operational efficiency, tooling adoption, reliability, throughput, and overall program health.
• Communicate program status, technical risks, dependencies, tradeoffs, and decisions clearly to both technical teams and leadership.
• Create scalable program management processes that improve visibility, accountability, prioritization, and execution across Data Operations.

Key Success Factors:

• 5+ years of experience in engineering program management, technical program management, product management, or a related role supporting complex engineering organizations.
  • Demonstrated experience developing and managing technical roadmaps and prioritization frameworks.
  • Proven ability to drive complex, cross-functional programs with multiple dependencies and stakeholders.
  • Ability to translate ambiguous operational needs into clear requirements, priorities, milestones, and execution plans.
  • Excellent written and verbal communication skills, with the ability to communicate effectively across engineering teams, technical leadership, and senior stakeholders.
• Familiarity with ML lifecycle and GenAI feature development with particular emphasis on Human evaluation, annotation, and reinforcement learning with human feedback.
• Experience managing programs involving data platforms, data engineering, data management, data operations, or large-scale data processing systems.
  • Strong analytical and problem-solving skills with the ability to use data to inform prioritization and program decisions.
  • Strong technical fluency and demonstrated ability to partner effectively with software and data engineers.
• Ability to understand and participate in discussions involving system architecture, data pipelines, APIs, services, technical dependencies, and engineering tradeoffs.
  • Familiarity with software development concepts and languages such as Python or Java sufficient to understand engineering discussions and technical designs; hands-on coding experience is not required.
• Experience driving tooling or platform programs, particularly internal tools used by engineering, data, or operations teams.

Nice to Haves:

• Experience supporting AI/ML or Generative AI development, evaluation, or data programs.
• Understanding of data pipelines, ETL/ELT workflows, data orchestration, dataset management, and large-scale data processing.
• Familiarity with technologies such as SQL, Spark, Airflow, Kubernetes, cloud data platforms, or similar data infrastructure technologies.
• Experience managing internal developer platforms, workflow automation, data tooling, or operational tooling.
• Understanding of the ML data lifecycle, including data collection, ingestion, transformation, curation, annotation, evaluation, and monitoring.
• Experience working with human data operations, annotation, labeling, or evaluation workflows.
• Familiarity with APIs, distributed systems, and service-oriented architectures.
• Experience defining operational metrics, SLAs/SLOs, dashboards, and mechanisms for measuring platform or workflow performance.
• Experience working in a fast-paced environment where priorities evolve based on research, product, and engineering needs.
• Experience supporting globally distributed engineering and operations teams.

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact [e-mail] for assistance. Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.