Job Description

Data System Operations Executive at Comcast Corporation summary:

The Data System Operations Executive at Comcast is responsible for the leadership of the Internal Audit Data organization, focusing on maintaining data reporting environments and driving technology improvements. This role involves collaboration with peers to optimize data sourcing, ensure data security, and innovate processes for better automation and quality. The executive also mentors team members and manages multiple projects to enhance internal audit capabilities across the company's global operations.

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 assigned

Professional Experience and Qualifications

• Strong technical skills with proven ability to manage large/complex data and applications, environments, tools, and projects.
• Proven ability to synthesize and summarize voluminous/technical information into executive presentations.
• Strong analytical and critical thinking skills, and excellent written and oral communications and presentation skills.
• Strong employee management/team skills and proven ability to assemble a highly effective team.
• Strong cross-functional collaboration skills to influence and engage audit partners as well as business unit partners of all levels.
• Bachelor’s degree in Information Systems, Business Administration, Computer Science, Statistics, Data Science, Technology or Engineering.
• 7+ years’ proficient experience with Data lakes, AWS (Networking/VPC, Ops/IAM, Data tools (lambda, glue, redshift...)), Python, Windows Server Admin, and SQL.
• Minimum of 10+ years of work experience demonstrating increasing levels of responsibility.

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Skills:

Leadership; Data Lake; Automation Technology; AWS Networking; AWS Devops; AWS Identity And Access Management (IAM); Communication

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

10 Years +

Keywords:

Data Management, Data Analysis, Data Automation, AWS, Tableau, Python, Internal Audit, Data Quality, Data Reporting, Technology Innovation

Job Tags

Full time, Work experience placement, Night shift, Weekend work,

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