Senior Technical Program Manager

Internet Brands•El Segundo, CA

9d•$100,000

About The Position

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.

Requirements

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
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

Nice To Haves

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
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

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
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

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
life and AD&D insurance
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
voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services