Technical Project Manager

Infinitive Inc•Mclean, VA

1d•$90,000 - $154,000

About The Position

Infinitive is a data and AI consultancy that helps clients modernize, monetize, and operationalize their data to generate lasting value. They pride themselves on their deep industry and technology expertise, ensuring that they drive and sustain the adoption of new capabilities. Infinitive is committed to aligning their team with their clients' culture, ensuring a successful partnership by bringing the right mix of talent and skills for high return on investment. Infinitive has earned recognition as one of the "Best Small Firms to Work For" by Consulting Magazine, receiving this accolade nine times, most recently in 2026. They have also been honored as a “Top Workplace” by the Washington Post, “Best Places to Work” by the Washington Business Journal, and “Best Places to Work” by Virginia Business. We are seeking a Technical Program Manager (TPM) with a strong foundation in AWS or Databricks data platforms, large-scale ETL integrations, and enterprise client engagement. This role requires an individual capable of bridging engineering, product, and external stakeholders—driving technical architecture decisions, managing the delivery of complex data modernization programs, and leading deep-dive data attribute discovery. The ideal candidate is a proactive leader who excels in program governance, customer-facing technical alignment, and large-scale data mapping.

Requirements

7+ years of experience in technical program management, client-facing solutions architecture, or engineering leadership.
Proven experience managing large-scale data discovery, mapping, and business justification workflows for 1,000s of data attributes across complex legacy client bases.
Demonstrated ability to serve in a high-impact customer-facing capacity, aligning multi-client needs to platform roadmaps.
Strong technical knowledge of AWS data services, including Glue, Lambda, Aurora, EMR, DynamoDB, and S3.
Hands-on experience with ETL processes, batch processing, Spark/PySpark, and enterprise data migration initiatives.
Familiarity with distributed systems, CI/CD pipelines, and container orchestration using Docker and Kubernetes.
Proven track record in executive stakeholder engagement, strategic roadmap planning, and end-to-end program delivery.

Nice To Haves

Experience with mainframe and legacy batch system migrations (e.g., COBOL-based systems, flat files, fixed-width feeds).
Background in platform modernization, ERP systems, or financial technology environments.
Demonstrated ability to contribute to the onboarding, training, and scaling of TPM teams.

Responsibilities

Client Engagement & Roadmap Alignment: Play a central, customer-facing role partnering with 100s of legacy clients; translate their business needs and timelines into strategic program roadmaps.
Batch Data & Attribute Discovery: Lead technical discussions around batch data requirements, rigorously documenting and verifying business justifications for 1,000s of data attributes across legacy and target modern schemas.
Architectural Partnership: Collaborate with engineering leads to shape technical architecture across AWS platforms, including Glue, Lambda, Aurora, S3, EMR, and DynamoDB.
Program Execution: Lead the end-to-end delivery of scalable ETL pipelines and data integration strategies to support legacy-to-modern system transitions.
Governance & Alignment: Own program plans, cross-team alignment, risk mitigation, and executive reporting across internal and external stakeholders.
Cross-Functional Collaboration: Serve as a strategic liaison between clients, engineering, and product to ensure architectural decisions align directly with business outcomes.
TPM Enablement: Build frameworks, documentation, and onboarding paths to support incoming TPMs and scale operational excellence.