Senior Technical Program Manager Job ID 2026-1285

Internet Brands • El Segundo, CA

5d • $100,000

About The Position

Senior Technical Program Manager – Data Engineering We are looking for a Senior Technical Program Manager to join our Technology Organization, aligned with our Data Engineering function across the Legal vertical. This is a hands-on execution role coordinating across Data Engineering, Product Engineering, BI/Analytics, System Engineering, and NOC — where shared infrastructure, legacy systems, and evolving platforms create complex, interdependent delivery challenges. The ideal candidate is a strong self-starter who navigates ambiguity, builds cross-functional relationships, and drives business-critical initiatives with sound judgment on both immediate and long-term trade-offs. The program portfolio spans large-scale data platform migrations, ETL/ELT pipeline development, BI reporting migrations, and data architecture modernization across legacy and modern platforms — including programs where a single infrastructure change creates cascading dependencies across multiple downstream product teams.

Requirements

• 8+ years of TPM experience in a scaled technology organization, with a track record of managing concurrent programs spanning multiple engineering teams, product lines, and organizational boundaries simultaneously
• Background in product-driven SaaS or subscription businesses where data infrastructure directly supports revenue-generating product lines
• Demonstrated ability to manage programs with significant discovered scope – where initial estimates expand as dependency mapping uncovers technical complexity across multiple consuming teams
• Strong stakeholder management skills in shared-infrastructure contexts, where multiple product teams have competing timelines and priorities against the same platform dependencies
• Comfortable building and adapting program management workflows using low-code/no-code platforms (e.g., Airtable) – including project tracking, reporting templates, and cross-team dashboards
• BS/BA degree required, preferably in computer science or technical disciplines
• 3+ years managing data engineering programs – with demonstrated experience planning and executing complex, multi-phase data migrations including scope definition, dependency mapping, phased cutover, validation, and post-migration stabilization
• Strong understanding of distributed systems and modern data architectures (data lakes, warehouses, pipelines); familiarity with big data infrastructure such as Hadoop/Cloudera, Impala, Spark, or Postgres
• Experience managing cross-team dependencies between data engineering and application teams against shared APIs, tables, and pipelines; ability to engage technically with data engineers on schema design, data lineage, table partitioning, and query migration without writing code
• Understanding of BI tooling (Tableau, Power BI, Looker) and how reporting layers depend on underlying data pipeline health
• Experience managing platform version upgrades, cluster transitions, or infrastructure modernization at scale

Nice To Haves

• Scrum Master, Scaled Agilist, or PMP Certification
• Experience owning end-to-end program strategy and communicating results to senior leadership
• Track record of maintaining alignment and momentum on long-horizon programs (12+ months) where scope, priorities, and resources regularly shift – including programs where a single shared infrastructure dependency creates cascading timeline impact across multiple downstream teams
• Familiarity with modern analytical data platforms (Snowflake, Apache Doris, Vertica) and data orchestration/transformation tooling (dbt, Apache Airflow, Informatica, Pentaho)
• Experience with cloud-based data platforms (AWS, GCP, Azure) spanning both cloud and on-premises infrastructure
• Experience managing data governance, data quality, or compliance programs (GDPR, CCPA)
• Exposure to machine learning or predictive modeling programs from a TPM perspective (e.g., ML pipelines, model scoring, AI-powered analytics)

Responsibilities

• Lead strategic program planning and execution – driving discovery, prioritization, milestone development, dependency management, and risk mitigation in close collaboration with product and engineering leads; communicate progress, risks, and retrospectives consistently across all stakeholder levels
• Manage programs where shared data infrastructure serves as a dependency for multiple concurrently executing product teams – maintaining alignment across competing consumer priorities while the underlying platform is actively evolving
• Define and track measurable success criteria for data platform programs, including pipeline SLA targets, consumer team readiness gates, data quality acceptance benchmarks, and migration sign-off standards
• Proactively identify and remove impediments, lead issue resolution, and support teams balancing competing priorities
• Partner with stakeholders, product managers, and engineering to translate requirements into technical execution plans, and collaborate on solution architecture from design through deployment and adoption
• Ensure continuity of systems and data flows through migrations, upgrades, and platform changes – coordinating across data, application, and infrastructure layers to protect downstream consumers and production environments
• Lead end-to-end planning of large-scale data platform migrations – from legacy big data clusters (e.g., Hadoop/Cloudera) to modern platforms – including migration roadmap definition, API/query/table dependency mapping, phased cutover sequencing, and multi-workstream coordination across consuming teams
• Drive data quality and validation strategies for production migrations, including pre/post-migration validation frameworks, rollback plans, and sign-off criteria; track and communicate platform health, SLA adherence, and risk posture to engineering leadership
• Manage complex multi-phase infrastructure upgrade programs including platform version upgrades, cluster expansions, and compute environment migrations
• Facilitate alignment between data engineering teams and downstream consumers (application teams, analytics, BI, marketing operations) to ensure pipeline continuity through platform transitions
• Support data governance and lineage documentation efforts to improve discoverability, quality, and reliability of data assets across the organization

Benefits

• health insurance options such as medical, dental, and vision coverage
• flexible spending accounts (FSA) for medical and dependent care
• short-term and long-term disability insurance, and life and AD&D insurance
• a 401(k) retirement savings plan with a company match
• paid time off (PTO)
• paid holidays
• commuter benefits
• access to our Employee Assistance Program (EAP) and well-being coaching services
• employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees