Data System Operations Executive

Data System Operations Executive

Requirements

• 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.

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.

Preferred Qualifications

• 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.