Senior Vice President, Data Operations

Dotdash Meredith
New York
Workplace: HybridFull timeUSD 315,000 - 375,000 annuallyFunction: Executive & General ManagementExperience: 15+ yearsEducation: bachelorsSkills: ["Leadership","Communication","Strategic thinking","Executive presence","Team-building"]

Lead the strategy, architecture, and execution of an enterprise-wide data infrastructure at petabyte scale. Own the full data stack—from ingestion and warehousing to real-time streaming and ML/AI platform capabilities. Build and mentor a high-performing data organization and partner with Engineering, Data Science, and business leadership to democratize data, ensure governance, and enable AI across the company.

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Dotdash Meredith
Dotdash Meredith
3 months ago

Senior Vice President, Data Operations

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 days agoStatus: Live

Job Summary

Lead the strategy, architecture, and execution of an enterprise-wide data infrastructure at petabyte scale. Own the full data stack—from ingestion and warehousing to real-time streaming and ML/AI platform capabilities. Build and mentor a high-performing data organization and partner with Engineering, Data Science, and business leadership to democratize data, ensure governance, and enable AI across the company.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Sr. Director level

Key Responsibilities

  • •Define and execute a multi-year data platform strategy, aligned to company-wide goals across content, audience, advertising, and product.
  • •Advise 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.

Pay and Benefits

Salary: USD 315,000 - 375,000 annually
Perks:Health InsuranceDentalVision401kPaid LeaveLife Insurance

Key Requirements

  • •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).
  • •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:15+ yearsDigital mediaAdvertising technologyData platformMedia
Education:Bachelor's
Skills:LeadershipCommunicationStrategic thinkingExecutive presenceTeam-building
Tech Stack:SnowflakeBigQueryRedshiftKafkaFlinkDataflowAirflowDagsterGCPAWSDBTPythonSQL

Company Brief

Dotdash Meredith
Dotdash Meredith is a major digital and print media company producing lifestyle, entertainment, and news content across numerous brands and platforms, combining Dotdash's digital expertise with Meredith's legacy publishing portfolio following their 2021 merger.
Industry: Publishing
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2021
WebsiteLinkedIn