Vice President, Data Operations

Bloom Ads Global Media•Los Angeles, CA

1d•$160,000 - $200,000•Onsite

About The Position

Bloom Ads is growing, and we’re looking for a motivated Vice President of Data Operations to lead our data infrastructure, governance, and analytics operations. This role ensures the integrity, availability, and usability of data across all business units and media platforms. The ideal candidate brings a blend of technical expertise, operational excellence, and strategic vision to scale data processes and drive client outcomes. This is an in-office position based in our Woodland Hills office.

Requirements

10+ years of experience in data operations, preferably in advertising, marketing, or digital media.
Proven leadership in managing data teams and enterprise-scale data environments.
Expertise in SQL, Python, and modern data stacks (e.g., dbt, Airflow, Fivetran).
Deep understanding of data privacy, compliance, and governance frameworks.
Strong project management and communication skills.
Experience working with custom multi-touch attribution, audience segmentation, and media performance data.

Nice To Haves

Experience with cloud environments (AWS, GCP).
Familiarity with identity resolution and CDP platforms.
Prior agency or consulting background strongly preferred.
Client-facing and pitch experience strongly preferred.

Responsibilities

Lead and evolve the agency’s data architecture, warehousing, and ETL/ELT operations.
Oversee data governance, compliance (e.g., GDPR, CCPA), and quality assurance processes.
Lead ad operations strategy regarding trafficking, tagging, ad serving, and pixel implementation.
Partner with client strategy, media, and analytics teams to align data delivery with business objectives.
Manage cross-functional teams including data engineers, analysts, and operations staff.
Own vendor relationships and tool integrations/internal applications (e.g., Snowflake, BigQuery, Salesforce, Datorama, Power BI).
Streamline reporting workflows and ensure data consistency across internal and client-facing dashboards.
Build systems that support real-time insights and campaign performance analysis.
Develop and monitor KPIs to assess data pipeline performance and team efficiency.
Guide strategic initiatives for data automation, AI integration, media mix modeling, and attribution modeling.