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Data Operations Jobs in California (NOW HIRING)

The Specialist, Data Operations is responsible for managing master data and metadata, ensuring data accuracy and integrity while working closely with cross-functional stakeholders. Responsibilities ...

New

AI Data Operations Lead

San Jose, CA · On-site

$175K - $200K/yr

We are looking for an AI Data Operations Lead to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most ...

AI Data Operations Lead

San Jose, CA · Hybrid

$175K - $200K/yr

We are looking for an AI Data Operations Lead to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most ...

AI Data Operations Lead

San Jose, CA · Hybrid

$175K - $200K/yr

We are looking for an AI Data Operations Lead to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most ...

Data Operations Analytics Manager

San Jose, CA · On-site

$136.50K - $253.50K/yr

... operations processes and workflows Drive data standardization and improve data quality across systems (e.g., SFDC, reporting tools) Identify opportunities to automate reporting and streamline manual ...

The Role We are looking for a Human Data Operations Manager to design, scale, and operate Cartesia's global scaled evaluation workforce. This role sits at the intersection of product operations, data ...

The Role (Founding) This is our founding operations role. You won't "run a process"--you'll design the process, the playbooks, and the bar for what world‐class, AI‐first data operations looks ...

Job Title Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be ...

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Showing results 1-20

Data Operations information

See California salary details

$51.3K

$126.8K

$197.4K

How much do data operations jobs pay per year?

As of May 28, 2026, the average yearly pay for data operations in California is $126,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $161,400.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.
What are the most commonly searched types of Data Operations jobs in California? The most popular types of Data Operations jobs in California are:
What are popular job titles related to Data Operations jobs in California? For Data Operations jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Data Operations jobs? Cities in California with the most Data Operations job openings:
Infographic showing various Data Operations job openings in California as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $126,843 per year, or $61 per hour.

Investment Data Operations Analyst

Careers at KKR

San Francisco, CA

Other

Posted 11 days ago


Job description

POSITION SUMMARY 

KKR is looking for an Investment Data Operations Analyst to join its growing data management group within the Global Data Operations vertical. This role sits within the Investment Data Operations (IDO) team and supports the broader enterprise, with primary coverage across Credit and Insurance strategies. 

This position is based in San Francisco and reports to the VP of Investment Data Operations. 

The ideal candidate will have foundational experience in security master and daily pricing operations, particularly supporting debt instruments and bank loans. This is a hands-on, execution-oriented role focused first and foremost on accurate asset setup and daily pricing controls, with exposure to broader data initiatives over time. 

The candidate should have 1-3 years of experience in investment operations, preferably within an alternative investment firm, insurance company, or fund administrator. A strong understanding of middle- and back-office workflows, particularly how security master and pricing data impact accounting, risk, and reporting, is important. 

This role requires a detail-oriented individual who is comfortable working in a fast-paced environment, willing to grind through operational workflows, and able to independently investigate and resolve data issues. The ideal candidate will also be technically curious, comfortable working directly with data in SQL-based environments and interested in leveraging automation and AI tools to improve operational efficiency. Strong communication skills and a collaborative mindset are essential for working across global teams. 

We are passionate about operational excellence and providing our investment and business operations colleagues with high-quality, reliable data to support investment execution across the firm. We work in small, collaborative teams within the context of a global investment platform and offer meaningful exposure, learning opportunities, and long-term career growth. 

KEY RESPONSIBILITIES 

  • Create securities in the security master system and maintain updates to the security record throughout the lifecycle of the instrument
  • Perform accurate asset setup across credit instruments, including bank loans, bonds, and structured products
  • Manage daily pricing for all securities; perform price validation checks, investigate exceptions, and coordinate with vendors on pricing coverage and challenges
  • Maintain consistent, accurate, and complete security master data across OMS, accounting, and risk systems by executing routine and targeted data maintenance tasks
  • Support automation and efficiency initiatives, including responsible use of AI tools to streamline operational processes
  • Resolve data breaks and support downstream teams (Accounting, Risk, Compliance, Client Reporting) with pricing and reference data inquiries
  • Design, document, and execute data management processes under established governance frameworks
  • In conjunction with IT, support specifications, testing, and enhancements to tools and applications used to maintain data integrity
  • Identify areas of operational risk within asset setup and pricing workflows and escalate issues appropriately
  • Execute assigned data-related initiatives and projects, with primary responsibility focused on operational execution

REQUIRED EXPERIENCE 

  • Bachelor's degree required
  • 1-3 years of experience in security master setup, reference data management, or pricing operations
  • Experience supporting credit instruments, particularly bank loans, asset backed assets. 
  • Experience within an alternative investment firm, insurance firm, or fund administrator preferred
  • Strong comfort working directly with data and performing reconciliations across large datasets
  • Understanding of how security master and pricing data impact accounting, NAV, and risk reporting
  • Strong Excel and PowerPoint skills
  • Strong attention to detail and ability to work accurately under time constraints
  • Organized with the ability to manage recurring operational processes in a deadline-driven environment
  • Excellent written, verbal, and interpersonal communication skills
  • Team-oriented with strong integrity and professionalism
  • Demonstrated curiosity around automation and AI tools, with a willingness to incorporate technology to improve workflows
  • Willingness to roll up sleeves, be scrappy, and take ownership of day-to-day operational responsibilities

IDEAL EXPERIENCE 

  • Knowledge of Security Master characteristics of Bank Debt, Bonds, and ABS
  • Familiarity with pricing vendors and pricing validation workflows
  • Exposure to trade processing and settlement preferred
  • Exposure to data governance concepts and operational control frameworks
  • Experience leveraging automation, scripting, or AI tools to improve operational efficiency

CRITICAL COMPETENCIES FOR SUCCESS 

High Trust and Integrity 
Naturally engenders trust; can be counted on to do the "right thing" for the firm, its people, and its clients. Treats all colleagues with respect and professionalism. 

Outcomes & Solutions Orientation 
Self-starter with the ability to execute reliably and consistently. Comfortable managing recurring operational responsibilities while handling ad hoc issues as they arise. 

Commercial Orientation 
Understands that high-quality data underpins investment decisions and operational reporting. Approaches tasks with awareness of downstream impact. 

Collaboration and Influencing 
Works effectively across business units and functions. Communicates clearly and escalates issues appropriately. 

Entrepreneurial Mindset 
Willing to grind through operational details while continuously looking for smarter, more automated ways to operate. Comfortable in a fast-paced, evolving environment. 

Effective Team Player 
Highly motivated team member who contributes to a collaborative and accountable culture. 

Results-Driven 
Detail-oriented, proactive, and dependable. Committed to accuracy, timeliness, and continuous improvement.