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Vice President Data Scientist Jobs (NOW HIRING)

Meredith Corporation

NY · On-site

$315K - $375K/yr

Senior Vice President, Data Operations Location: New York, NY (Hybrid 3x a week in office, remote ... Partner with Product, Engineering, and Data Science leaders to align roadmaps with business ...

Hillenbrand

Vice President, Data & Analytics

Columbus, OH · On-site +1

$173K - $224K/yr

The Vice President, Data & Analytics provides executive leadership for the organization's data ... Bachelor's degree in Data Science, Information Systems, Computer Science, or related field - or ...

AXS

VP, Data Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

AXS

VP, Data Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

Flexential Corp.

VP, Data Center Operations

The Vice President, Data Center Operations will play a central role in ensuring that facilities perform safely and consistently, that teams are equipped and aligned, and that the operating model can ...

AXS

VP, Data Engineering

San Francisco, CA · On-site

$212K - $273K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

The Knot Worldwide

VP, Data Science

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace. This role is accountable for driving measurable ...

OptimizeRx

Vice President, Data and Analytics Products

$200K - $220K/yr

Vice President, Data amp; Analytics Products About OptimizeRx OptimizeRx is a leading healthcare ... This leader will partner across Product, Engineering, Data Science, Commercial, Customer Success ...

Flexential Corp.

VP, Data Center Operations

OR · On-site +1

The Vice President, Data Center Operations will play a central role in ensuring that facilities perform safely and consistently, that teams are equipped and aligned, and that the operating model can ...

Omnicom

VP, Data Strategy & Insight

Williamsburg, VA · On-site

The VP must exercise sound judgment, manage competing priorities, solve complex problems, and ... Advanced degree, MBA, MPH, MS in Analytics/Data Science, or related graduate degree preferred. Or ...

Omnicom

VP, Data Strategy & Insight

Williamsburg, VA · On-site

The VP must exercise sound judgment, manage competing priorities, solve complex problems, and ... Advanced degree, MBA, MPH, MS in Analytics/Data Science, or related graduate degree preferred. Or ...

Vibrant

Assistant Vice President, Data

$180K - $200K/yr

The Assistant Vice President, Data is a senior enterprise data leadership role within Vibrant ... Define and lead an integrated data strategy spanning analytics & reporting, data science, machine ...

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How much do vice president data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for vice president data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a Vice President Data Scientist do?

A Vice President Data Scientist oversees the data science strategy and operations within an organization, leading teams of data scientists and analysts. They are responsible for setting the vision for how data can drive business growth, managing advanced analytics projects, and ensuring data-driven decision-making across departments. This role often involves collaborating with other executives, shaping data governance policies, and identifying opportunities to leverage machine learning and AI for business advantage. They also mentor team members and help recruit top talent to the data science team.

What are the key skills and qualifications needed to thrive as a Vice President Data Scientist?

To excel as a Vice President Data Scientist, you need advanced expertise in statistical analysis, machine learning, and data strategy, often supported by a graduate degree in a quantitative field and extensive industry experience. Mastery of tools such as Python, R, SQL, big data platforms (e.g., Hadoop, Spark), and familiarity with cloud services and data governance frameworks are typically required. Leadership, strategic vision, and excellent communication skills distinguish top performers by enabling them to guide teams and align analytics initiatives with business goals. These skills are critical for driving data-driven decision-making and delivering significant value at an organizational level.

How does a Vice President Data Scientist typically collaborate with other executive leaders and technical teams within an organization?

As a Vice President Data Scientist, collaboration is a key part of the role. You’ll regularly work with other executive leaders to align data strategy with overall business objectives, present insights, and recommend data-driven initiatives. At the same time, you’ll oversee and guide technical teams, ensuring they have the resources, direction, and support needed to execute complex analytics projects. This dual collaboration fosters a bridge between business strategy and technical execution, often requiring strong communication skills and the ability to translate technical concepts for non-technical stakeholders.

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Vice President Data Scientist jobs near you
Infographic showing various Vice President Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Vice President, Data Operations

NY • On-site

Meredith Corporation
Executive Offices • 11 - 50 employees
Learn more about Meredith Corporationexternal

$315K - $375K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

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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