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.
Primary Job 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
Data Engineering Program Management:
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
Skills and Qualifications:
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
Data Engineering Requirements:
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
Preferred Qualifications:
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
Data Engineering Preferred:
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)
At Internet Brands, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to depend on your skills, qualifications, and experience. We encourage all interested candidates to apply. We expect this role to start with a base in the low to mid $100ks.
In addition to our awesome culture, we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include 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. We also provide a 401(k) retirement savings plan with a company match, paid time off (PTO), paid holidays, commuter benefits as well as access to our Employee Assistance Program (EAP) and well-being coaching services. In addition, employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services. For more details, feel free to inquire during the interview process.
Internet Brands®, headquartered in El Segundo, Calif, is a fully integrated online media and software services company focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company's properties and platforms include the WebMD, Medscape, and Henry Schein ONE networks, which are the global leaders in their markets; Nolo, Avvo, and Martindale, which form the largest consumer information provider in the legal market; and CarsDirect, Fodor's Travel, and many others which are leaders in their key vertical markets. Internet Brands' award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. The company's powerful, proprietary operating platform provides the flexibility and scalability to fuel the company's continued growth. Internet Brands is a portfolio company of KKR and Warburg Pincus.
Internet Brands is an equal opportunity employer, and we welcome applicants from all backgrounds. We comply with all applicable laws and regulations, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO).
Notice to California residents: you can find information about our privacy practices, on: https://www.internetbrands.com/work-with-us/cpra