Data System Operations Executive

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

The Data System Operations Executive serves as a leader within Comcast Corporate’s Internal Audit Data organization, which spans the Company’s global businesses and operations across Connectivity & Platforms, and Content & Experiences.

This Data Systems Operations Executive is specifically responsible to collaborate with their peers on the Internal Audit Data team to maintain data reporting environments and tools (AWS, Tableau, Python, etc.) as well as monitor recurring data feeds. The Data Systems Operations leader will also work to drive technology improvements for our development standards, be a thought leader for new ways to innovate and scale our processes, and increase the amount of automation and integrated data quality.

Key Reporting Relationship: Senior Vice President, Internal Audit, Data

Job Description

Core Responsibilities

• Collaborate with Tech Data and Fin Ops Data leaders on current and upcoming data feeds to determine what are top capabilities to improve and how best they can partner together to drive those improvements.  Responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources.
• Monitor the environments and tools that house our internal audit data.  Ensure all data is secure and follows company policies regarding data classification.  Guide critical issue resolution and share knowledge such as trends, aggregate, quantity volume regarding specific data sources.
• Review and approach current inventory of data and drive increased automation and resiliency, integrating automated quality checks and alerts and addressing recurring pain points with upstream systems and data providers.  Collaborates partners to optimize data sourcing and processing rules to ensure appropriate data quality as well as process optimization.
• Partner with Data team peers to review coding standards, development practices, and CI/CD processes, to increase the technical stability of our data feeds as well as accelerate new development for new data feeds that are being added as necessary based on the audit plan.  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.
• Partner with Data team peers to develop tooling to complement our data feeds and reports to improve capabilities that support our audit testing, including but not limited to addressing manual data inputs that may be provided by the audit client.
• Ensures that the team uses analytical models (e.g., regression, simulation, statistical, etc.) and/or techniques in support of engagement deliverables, as appropriate.  Assesses the impact of analytic observations and identifies themes across multiple engagements/entities.
• Develop and mentor team members of Data organization in improving their technical skills, communication, project management, critical/strategic thinking, and collaboration skills.  Foster an environment of empowerment, openness, accountability, and objectivity.
• Direct multiple and simultaneous projects of varying complexity to drive the execution of the audit plan as well as specific asks from Internal Audit leadership. 
• Ensures data lineage documentation from source to the final semantic layer along with the transformation rules is developed timely and with high quality to enable faster troubleshooting and impact analysis during changes.
• Exemplify the highest degree of trust and integrity by continually upholding the principles of professional standards.
• Develop a network of peers to stay current of audit automation trends in the industry and profession.
• Exercise independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
• Other duties and responsibilities as