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Program Manager Data Analytics Jobs in Los Angeles, CA

Cathay Bank

VP, Data Analytics Manager

El Monte, CA · On-site

Video Clip 1 Video Clip 2 Video Clip 3 GENERAL SUMMARY Cathay Bank is seeking an Enterprise Risk Data Analytics Manager to serve as a key analytical partner to the Bank's second line of defense Risk ...

SAIC

Program Manager

El Segundo, CA · Hybrid

$120K - $160K/yr

Project Analyst Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum Clearance ... Assessment (SRA) data outputs. You will wow us even more if you have these skills: • ...

Space Systems Integration

Program Manager

El Segundo, CA · On-site

$140K - $170K/yr

Requirements Definition, Strategic Planning, and Stakeholder Analysis. * Ensure contract ... Ability to interpret Schedule Risk Assessment (SRA) data outputs. * Active TS clearance with in ...

HCVT

Senior Data & Analytics Specialist

Irvine, CA · Hybrid

What We Do and Who We Serve We offer Tax, Audit, Advisory, and Business Management services to our ... About the Role The Senior Data & Analytics Specialist is responsible for designing, building, and ...

Space Systems Integration

Program Manager

El Segundo, CA · On-site

$140K - $170K/yr

Requirements Definition, Strategic Planning, and Stakeholder Analysis. * Ensure contract ... Ability to interpret Schedule Risk Assessment (SRA) data outputs. * Active TS clearance with in ...

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All JobsProgram Data Analytics JobsProgram Manager Data Analytics JobsProgram Manager Data Analytics Jobs in Los Angeles, CA

Program Manager Data Analytics information

See Los Angeles, CA salary details

$41.5K

$115.8K

$169.2K

How much do program manager data analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for program manager data analytics in Los Angeles, CA is $115,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $142,800.00 per year, depending on experience, location, and employer.

What is a program manager in data analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

How does a program manager in data analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

What are the key skills and qualifications needed to thrive as a program manager in data analytics, and why are they important?

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is the difference between Program Manager Data Analytics vs Data Analyst?

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

What are popular job titles related to Program Manager Data Analytics jobs in Los Angeles, CA?

For Program Manager Data Analytics jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Program Manager Data Analytics jobs in Los Angeles, CA look for?

The top searched job categories for Program Manager Data Analytics jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Program Manager Data Analytics jobs?

Cities near Los Angeles, CA with the most Program Manager Data Analytics job openings:

Program Manager Data Analytics jobs near you
Infographic showing various Program Manager Data Analytics job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $115,790 per year, or $55.7 per hour.

Senior Technical Program Manager

Internet Brands

El Segundo, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Internet Brands rating

8.7

Company rating: 8.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

56th of 247 rated software companies

Job 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 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
Employment Type: Full-Time

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