Hiring: Senior Technical Program Manager Company: Internet Brands Location: El Segundo, CA Job Posted Time: 2026-09-10 10:18:02 Target Skills & Keywords : AWS, Airflow, Apache, Azure, Data Pipeline, ELT, ETL, GCP, GDPR, Hadoop, Informatica, Machine Learning, PostgreSQL, SaaS, Scrum, Snowflake, Spark, dbt About the job Experience: •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 •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 Required Skills: •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 Qualifications: •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 •In-depth knowledge of distributed systems and modern data architectures (data lakes, warehouses, pipelines); familiarity with big data infrastructure such as Hadoop/Cloudera, Impala, Spark, or Postgres •Understanding of BI tooling (Tableau, Power BI, Looker) and how reporting layers depend on underlying data pipeline health •Scrum Master, Scaled Agilist, or PMP Certification •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 •Operational familiarity with modern analytical data platforms (Snowflake, Apache Doris, Vertica) and data orchestration/transformation tooling (dbt, Apache Airflow, Informatica, Pentaho) Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!