Senior Technical Program Manager
Job ID 2026-1285
Description
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 serving the Legal vertical. We drive cross-functional alignment, create process efficiencies, and deliver large-scale strategic initiatives in a rapidly growing Legal Technology space.
We are looking for a Senior Technical Program Manager to join our Technology Organization, aligned with our Data Engineering function serving the Legal vertical. We drive cross-functional alignment, create process efficiencies, and deliver large-scale strategic initiatives in a rapidly growing Legal Technology space.
This role is horizontally aligned across the Legal vertical, partnering with data engineering teams responsible for Enterprise Data Warehouse (EDW) infrastructure, centralized data platform development, and data services supporting multiple product lines and business units. The program portfolio includes high-complexity, multi-team data migration programs, ETL/ELT pipeline development, BI reporting migrations (e.g., Tableau), and data architecture modernization across legacy and modern data platforms.
The ideal candidate will join a team of technical project and program managers who focus on driving business-critical initiatives across the product development organization. You will be a strong self-starter who can drill into technical trade-offs to identify clear direction across your portfolio. You know how to move forward in the face of ambiguity and imperfect information, and show good judgment making trade-offs between immediate and long-term business needs.
Primary Job Responsibilities:
- Support strategic cross-functional planning, leading discovery and prioritization by closely collaborating with product and engineering leads to develop program plans
- Partner with product and engineering to develop project milestones, track progress, handle cross-team dependencies, resource planning, mitigate risks, and run effective communications
- 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 to drive momentum and progress; lead issue resolution and provide support to teams balancing competing priorities
- Work closely with stakeholders and product managers to ensure requirements are translated into technical execution plans that drive software development from design through deployment and adoption
- Collaborate to define the technical architecture of solutions and support technical implementation and integration efforts
- Communicate program risks, progress, launches, and retrospectives consistently and transparently across all stakeholder levels
Data Engineering Program Management:
- Lead end-to-end planning and execution of large-scale data platform migration programs – including phased migrations across data lake, data warehouse, and reporting layers from legacy big data clusters (e.g., Hadoop/Cloudera) to modern on-premises or cloud-based data platforms
- Coordinate migration workstreams across multiple consuming teams (product engineering, analytics, BI/Tableau), managing dependencies, sequencing, and cutover readiness for each migration phase
- Partner with data engineers and data architects to define migration roadmaps, validate scope, and ensure completeness of API, query, and table dependency mapping prior to cluster transitions
- Drive data quality and validation strategies for production migrations, including pre/post-migration validation frameworks, rollback plans, and sign-off criteria
- Manage complex, multi-phase data infrastructure upgrade programs including platform version upgrades, cluster expansions, and compute environment migrations
- Facilitate alignment between data engineering teams and downstream consumers (application development teams, analytics, reporting, and marketing operations) to ensure continuity of data pipelines through migrations and upgrades
- Track and communicate data platform health, migration progress, SLA adherence, and risk posture to engineering leadership and cross-functional stakeholders
- Support data governance and data lineage documentation efforts to improve discoverability, quality, and reliability of data assets across the organization
Skills and Qualifications:
- 6+ 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 of experience managing data engineering programs, including ETL/ELT pipelines, data warehouse initiatives, or large-scale data infrastructure projects
- Demonstrated experience planning and executing complex, multi-phase data migration programs – including scope definition, dependency mapping, phased cutover, validation, and post-migration stabilization
- Working knowledge of data platform architectures, including data lake layers, enterprise data warehouses (EDW), staging environments, and BI/reporting layers
- Familiarity with big data and analytics infrastructure such as Hadoop/Cloudera, Impala, Spark, Postgres, or equivalent modern data platforms
- Experience managing cross-team dependencies between data engineering and product or application development teams, including coordinating against shared data APIs, shared tables, and downstream consumers
- Ability to engage technically with data engineers and architects on topics such as schema design, data lineage, table partitioning, and query migration without needing to write code
- Understanding of BI tooling (e.g., Tableau, Power BI, Looker) and how reporting layers depend on underlying data pipeline health
- Experience managing programs involving data platform version upgrades, cluster transitions, or infrastructure modernization at scale
Preferred Qualifications:
- Scrum Master, Scaled Agilist or PMP Certification
- Experience owning program strategy, end-to-end delivery, and communicating results to senior leadership
- Track record of maintaining program alignment and momentum on long-horizon initiatives (12+ months) where organizational priorities, resource availability, and technical scope regularly shift
- Experience managing programs where a single infrastructure dependency creates cascading timeline impact across multiple downstream product or consumer teams
Data Engineering Preferred:
- Experience with modern data stack tooling such as dbt, Apache Airflow, Apache Spark, Kafka, or equivalent orchestration and transformation frameworks
- Familiarity with cloud-based data platforms (AWS, GCP, or Azure data services)
- Experience working with legal technology, media/publishing, or other multi-product vertical organizations where data is shared across multiple product lines
- Experience managing data governance, data quality frameworks, or data compliance programs (e.g., GDPR, CCPA, or industry-specific data privacy requirements)
- Exposure to machine learning or predictive modeling programs from a program management perspective (e.g., managing delivery of ML pipelines, model scoring infrastructure, or AI-powered analytics products)
- Experience managing programs that involve both real-time and batch data pipeline architectures
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