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Vice President Data Operations Lead Jobs (NOW HIRING)

VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

Lead and manage day-to-day operational functions of Data Center infrastructure projects across ... The Vice President will manage all employees of their department and is responsible for the ...

AVP, Data Solutions Engineering

Jersey City, NJ · Hybrid

$119K - $143K/yr

... Vice President, Data Solutions Engineering will be responsible for building operational data ... Lead build-out and deployment of data pipelines. * Ensure reliability, scalability and governance ...

AVP, Data Solutions Engineering

Jersey City, NJ · Hybrid

$119K - $143K/yr

... Vice President, Data Solutions Engineering will be responsible for building operational data ... Lead build-out and deployment of data pipelines. * Ensure reliability, scalability and governance ...

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Vice President Data Operations Lead information

See salary details

$68.5K

$155.8K

$264K

How much do vice president data operations lead jobs pay per year?

As of Jul 7, 2026, the average yearly pay for vice president data operations lead in the United States is $155,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $185,000.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Data Operations Lead vs Data Operations Manager?

AspectVice President Data Operations LeadData Operations Manager
ResponsibilitiesStrategic oversight, setting data policies, leading large teams, and aligning data operations with business goalsManaging daily data processes, coordinating teams, and ensuring data quality and efficiency
Required CredentialsBachelor's/Master's in Data Science, Business, or related fields; extensive experience in data management; leadership skillsBachelor's in Data Management, IT, or related fields; experience in data operations; technical skills
Work EnvironmentExecutive-level, strategic planning, cross-department collaborationOperational, team management, technical focus

The Vice President Data Operations Lead typically holds a senior leadership role focused on strategic planning and overseeing large-scale data initiatives, while the Data Operations Manager handles daily data processes and team management. Both roles require strong data management credentials, but the VP position emphasizes strategic vision and leadership within the organization.

How does a Vice President Data Operations Lead typically collaborate with other departments to drive data-driven decision making?

A Vice President Data Operations Lead regularly partners with cross-functional teams such as IT, analytics, business strategy, and compliance to ensure data accessibility, quality, and security. They facilitate communication between technical staff and business leaders, translating organizational goals into actionable data initiatives. This role often leads data governance forums, oversees data integration projects, and supports teams in leveraging data insights for strategic decisions. Effective collaboration is crucial for aligning data operations with overall business objectives and fostering a data-driven culture.

What are the key skills and qualifications needed to thrive as a Vice President Data Operations Lead, and why are they important?

To thrive as a Vice President Data Operations Lead, you need deep expertise in data management, analytics, and operations, often backed by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data warehousing solutions, data governance frameworks, cloud platforms, and tools like SQL, Python, and ETL systems is crucial, as are certifications such as CDMP or PMP. Exceptional strategic thinking, cross-functional collaboration, and communication skills distinguish top performers in this role. These competencies are vital for ensuring data quality, driving business insights, and leading teams to achieve organizational objectives efficiently.

What does a Vice President Data Operations Lead do?

A Vice President Data Operations Lead oversees the data management and operational strategies within an organization. They are responsible for leading teams that handle data governance, quality, integration, and analytics to ensure data is accurate, secure, and effectively used for business decision-making. This role often involves collaborating with other executives to align data initiatives with organizational goals, developing data policies, and optimizing data processes. Additionally, they may be involved in implementing new data technologies and ensuring compliance with data regulations.
What cities are hiring for Vice President Data Operations Lead jobs? Cities with the most Vice President Data Operations Lead job openings:
What are the most commonly searched types of Data Operations Lead jobs? The most popular types of Data Operations Lead jobs are:
What states have the most Vice President Data Operations Lead jobs? States with the most job openings for Vice President Data Operations Lead jobs include:
Infographic showing various Vice President Data Operations Lead job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $155,780 per year, or $74.9 per hour.
Senior Vice President, Data Operations (Town of Liberty)

Senior Vice President, Data Operations (Town of Liberty)

Meredith Corporation

Liberty, NY • On-site

$315K - $375K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Senior Vice President, Data Operations

Location: New York, NY (Hybrid 3x a week in office, remote up to 2 days per week).

Overview

We are seeking a Senior Vice President of Data Operations to lead the strategy, architecture, and execution of our enterprise‑wide data infrastructure at petabyte scale. The role owns the full data stack, from ingestion pipelines to real‑time streaming, ML/AI capabilities, and governance frameworks to ensure data is trusted, accessible, and compliant.

Responsibilities
  • Define and execute a long‑term data platform strategy aligned with company goals.
  • Advise the CTO and C‑suite on data architecture, investments, and organizational structure.
  • Translate data capabilities into clear business value for non‑technical stakeholders.
  • Establish a data‑first culture, promoting data literacy and responsible use.
  • Lead platform architecture across batch and real‑time ingestion, transformation, storage, and serving layers.
  • Drive evolution of data warehouse/lakehouse strategy (e.g., BigQuery, Snowflake, DBT) for performance, reliability, and cost efficiency.
  • Lead adoption of emerging data and AI technologies; design for technical and self‑serve users.
  • Own data pipeline architecture for streaming (Kafka, Pub/Sub) and batch frameworks, ensuring low‑latency delivery.
  • Establish enterprise data governance: ownership, lineage, cataloging, quality SLAs, privacy & compliance frameworks.
  • Build a trusted data foundation, ensuring an authoritative source of truth for downstream teams.
  • Lead, mentor, and grow a high‑performing data organization across Data Engineering, Platform Engineering, and Analytics Engineering.
  • Recruit and develop senior technical talent; create a team culture of ownership, craftsmanship, and continuous learning.
  • Partner with Product, Engineering, and Data Science leaders to align roadmaps with business priorities.
  • Drive data infrastructure readiness for generative AI and ML (model training pipelines, embedding stores, experiment tracking).
  • Collaborate with Product and Editorial teams to identify AI opportunities with measurable impact.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering or related quantitative field (Master’s or PhD a plus).
  • 15+ years of experience in data engineering, data platform architecture, or analytics infrastructure.
  • 5+ years in a senior leadership role.
  • Proven track record designing and scaling petabyte‑level data platforms in high‑traffic, data‑intensive industry (media, e‑commerce, fintech).
  • Deep expertise in modern data stack: data lake/lakehouse, cloud data warehouses (Snowflake, BigQuery, Redshift), stream processing (Kafka, Flink, Dataflow), orchestration (Airflow, Dagster).
  • Strong command of GCP, AWS and experience managing large‑scale distributed systems at production quality.
  • Experience establishing data governance, metadata management, and data quality frameworks at enterprise scale.
  • Strategic mindset: ability to define a 3‑year roadmap and make pragmatic architectural trade‑offs.
  • Exceptional communication and executive presence, with fluency speaking to engineers and senior management.
  • Strong preference for experience in digital media, content platforms or advertising technology.
Benefits
  • Salary range: $315,000 – $375,000 (New York).
  • Annual bonuses and long‑term incentives.
  • Medical, dental, vision, prescription drug coverage.
  • Unlimited paid time off, 10‑12 paid holidays, generous paid parental leave.
  • 401(k) with company match, life insurance, accident insurance, pet insurance, voluntary benefits.
  • Comprehensive benefits such as tuition reimbursement, commuter benefits, family care benefits.
EEO Statement

People Inc. provides equal employment opportunity to all persons regardless of protected characteristics. Reasonable accommodations are available for qualified individuals with disabilities. The Company participates in the federal E‑Verify program.

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