Senior Vice President, Data Operations

About this role

Job Title Senior Vice President, Data Operations Job Description About The Position | Major goals and objectives and location requirements We are seeking a Senior Vice President of Data Operations to lead the strategy, architecture, and execution of our enterprise-wide data infrastructure. As a data-first media company operating at petabyte scale, data is the connective tissue across our editorial, product, advertising, and audience development functions. This is a defining leadership role for someone who can operate at the intersection of deep technical excellence and enterprise strategy — architecting the systems that power how we understand our content, our audiences, and our business.

The SVP of Data Operations will own the full data stack: from ingestion pipelines and data warehousing to real-time streaming, ML/AI platform capabilities, and the governance frameworks that ensure our data is trusted, accessible, and compliant.

Hybrid 3x a week- (New York, NY)  In-office Expectations: This position is hybrid in-office, with the ability to work remotely for up to 2 days per week.

About The Team People Inc. is a leading digital media company reaching millions of consumers across a diverse portfolio of iconic brands . Our content informs, entertains, and shapes culture and increasingly, data, at multi-petabyte scale, is the engine behind how we create, distribute, and monetize that content . Operating in a real-time, multi-platform ecosystem, we rely on data to understand audience behavior, optimize content performance, power advertising solutions, and unlock new revenue streams . The SVP of Data Platform will build and lead a high-performing team, partnering closely with Engineering, Data Science, Ad Tech, Research, Product, Editorial, Revenue, Business, and Marketing leadership, serving as the company's foremost authority on all things data .

About The Positions Contributions: Strategy & Vision • Define and execute a multi-year data platform strategy, aligned to company-wide goals across content, audience, advertising, and product.

• Serve as the executive voice of data — advising the CTO and C-suite on data architecture decisions, investments, and organizational structure, influencing how the company measures success. 

• Translate complex data capabilities into clear business value for non-technical stakeholders.

•  Establish a data-first culture across the organization, advocating for data literacy, democratization, and responsible use.

• Lead exploration and strategy around the foundational data products required to support use in both internal and external AI applications 

Platform Architecture & Engineering • Architect and oversee a petabyte-scale data platform spanning batch and real-time ingestion, transformation, storage, and serving layers.

• Drive the evolution of our data warehouse/lakehouse strategy (e.g., BigQuery,  Snowflake, DBT) and ensure the platform is built for performance, reliability, and cost efficiency at scale.

• Lead adoption of emerging data and AI technologies.

• Ensure the platform is designed for both technical and self-serve users, enabling analysts, data scientists, and product, and all other teams which use data to move quickly and independently.

• Own data pipeline architecture across streaming (e.g., Kafka, Pub/Sub) and batch frameworks, ensuring low-latency data delivery at scale.

Data Governance, Quality & Compliance • Establish enterprise data governance standards including ownership, lineage, cataloging, and data quality SLAs.

• Define and enforce data privacy and compliance frameworks (GDPR, CCPA, and evolving state regulations), working in close partnership with Privacy, Legal, and Security.

• Build a trusted data foundation — ensuring every downstream team operates from a single, authoritative source of truth.

Team Leadership & Organizational Development • Lead, mentor, and grow a high-performing data organization including Data Engineering, Platform Engineering, and Analytics Engineering functions.

• Recruit and develop senior technical talent; build a team culture defined by ownership, craft, and continuous learning.

• Partner with Engineering, Product, and Data Science leadership to align roadmaps and ensure data capabilities are tightly coupled to company priorities.

• Define team structures, operating models, and performance metrics that scale with business growth.

AI & Advanced Analytics Enablement • Drive the company's data infrastructure readiness for generative AI and ML applications — including model training pipelines, embedding stores, and experiment tracking.

• Partner with Product and Editorial teams to identify opportunities where advanced analytics and AI can create measurable impact.

The Role’s Minimum Qualifications and Job Requirements: • Education: • Bachelor's degree in Computer Science, Engineering, or a related quantitative field is required; a Master's or PhD is a plus .

• Experience: • 15+ years of progressive experience in data engineering, data platform architecture, or analytics infrastructure .

• At least 5 years of experience in a senior leadership role .

• Proven track record designing and scaling petabyte-level data platforms in a high-traffic, data-intensive industry (preferably media, e-commerce, fintech, or similar) .

Specific Knowledge, Skills, Certifications and Abilities: • Deep expertise across the modern data stack: data lakes/lakehouses, cloud data warehouses (Snowflake, BigQuery, Redshift), stream processing (Kafka, Flink, Dataflow), and orchestration (Airflow, Dagster) .

• Strong command of cloud platforms (GCP, AWS) and experience managing large-scale distributed systems at production quality .

• Experience establishing data governance programs, metadata management, and data quality frameworks at enterprise scale .

• Strategic mindset: comfortable defining a 3-year roadmap and equally comfortable making pragmatic architectural trade-offs in the near term .

• Exceptional c

Similar jobs

• Senior Vice President, Data & Intelligence — Djeholdings (ZenoCareers) · Chicago, Illinois, United States
• Senior Vice President, Operations — Thenuclearcompany · Washington, DC, Columbia, SC, or Lexington, KY
• Vice President of Data — Butterflymx · Remote
• Senior Vice President Operations — Rohlik · Remote
• Senior Vice President, Analytics — Djeholdings (ZenoCareers) · Chicago, Illinois, United States
• Vice President, Data & Analytics — Hillenbrand · Remote
• Executive Vice President, Operations — Voyagertechnologiesinc · Denver, CO; Long Beach, CA
• Vice President, Data Platform — Accordion · Chicago; Dallas; New York; San Francisco