Executive Director, Data Engineering & Data Governance

Effectv helps businesses reach the right audience with the right message at the right time. We harness the scale and quality of Comcast data to target advertisers’ audiences across linear TV, streaming, and video on demand and enabling clients to evaluate performance. A division of Comcast, we have a presence in 60+ markets and an estimated reach of 96 million U.S. adults that include both Comcast and non-Comcast households.

Job Summary

Responsible for directing and overseeing the activities of a unit of data engineers and data governance analysts responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store, and govern all structured and unstructured data from internal and external sources. Responsible for leading teams that work cross-functionally to execute on implementing Effectv’s Data Governance framework for critical programs to ensure the efficacy, timeliness and accuracy of our data. Manages team(s) that work with the Data Owners from our business and product management community to establish Critical Data Elements (CDE’s) and institute all required elements of the data management program (i.e. Business Glossary Definitions, Lineage, Data Quality Rules and Data Reconciliation Controls, etc.).

In addition to applying Effectv’s Data Governance Framework to our critical programs, Data Governance teams will work with our Business Data Owners to understand their critical business processes and operations and how they are using the data Effectv when defining CDE’s. The Data Governance teams will also be responsible to establishing and producing regular Data Quality dashboards/reports and serve as a first line of defense for all Data Quality Alerts and Data Incidents identified, which may require Data Remediation.



Oversees the establishment and build of processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Directs the planning, prioritization and execution of technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Directs the development of design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Develops long-term plans that impact the achievement of business results. Recognizes profitability and revenue potential in business opportunities. Has direct involvement in business case development, project management and performance measurement. Demonstrates leadership versatility. Provides leadership and direction for diverse and complex functions. Contributes to the development of the organization's business strategy. Interprets business strategy and develops organizational objectives to align with this strategy. Typically manages multiple teams of professionals.

Job Description

Core Responsibilities

• • Manages development of data structures and pipelines aligned to established standards and guidelines to organize, collect, standardize and transform data that helps generate insights and address reporting needs. 

  • Emphasizes data quality during ingest, processing as well as final load to the target tables. 

  • Guides creation of standard ingestion frameworks