Senior Data Solutions Manager

Senior Data Solutions Manager at Comcast Corporation summary:

As a Senior Data Solutions Manager at Comcast, you will drive best practices in analytics and automation for Fin Ops audits, focusing on risks and innovative insights. Your role involves managing data extraction, visualization, and analysis to support audit processes while collaborating with various internal teams to enhance data quality and streamline operations. You will lead the development of advanced statistical models and machine learning algorithms, ensuring compliance with data security policies and promoting a culture of continuous improvement within the team.

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

Plays a leading role in driving best practices relative to analytic/automation opportunities in audits by focusing on risks and providing innovative insights/cost-effective solutions. With our standard engagement cadence and focus on developing our talent, this role will be responsible for creating and overseeing ad hoc reporting, proactive monitoring metrics (dashboards) and analyses, and identifying/implementing automation opportunities. This role will partner with Fin Ops Audit Leadership in reviewing upcoming audit plan scope and strategically suggest how data / reporting can complement and streamline audit test execution. While this role is primarily focused on Comcast Corporate and Comcast Cable, the expectation is that this role will collaborate with peers in the Data organization to drive standardization and consistency with NBCU and Sky.

Job Description

What You Deliver

• Manages and executes the extraction, manipulation, visualization, and analysis of analytics that support the Corporate / Cable Fin Ops audit lifecycle.
• Guides the activities of Data team members as well as business partner teams (EBI, Finance, Operations, IT, etc.) and keeps the team on track to complete assignments. Provides ongoing feedback on work completion and performance to team members.
• Leads engagement objectives discussions with Cable Fin Ops leadership, understanding systems / processes / data / policies / controls, and provides strategic recommendations on potential data analytics to support and streamline the audit.

• Drives synergies and standardization for Fin Ops audit plans across Corporate, Cable, NBCU, and Sky looking for best practices and re-use.
• Drive development of continuous monitoring efforts in support of increased data quality and reduced manual validation.

• Writes clear and meaningful data analysis workpapers, documenting root-cause (as applicable), work performed, findings, and recommendations for management. Reviews team workpapers and other documentation to ensure they are clear, accurate, complete, and well-organized.
• Manage multiple large deliverables simultaneously, ensuring timely delivery while maintaining high standards of quality and accuracy.
• Identifies automation opportunities within the business that impact CGA’s audit work and assists in developing the business case to support the implementation. Identifies opportunities for improvement to initiatives, team activities, tools, and training.
• Demonstrates effective project and program management skills for data or automation related projects, including developing project plans and budgets, scheduling deliverables across Comcast Audit and business partner teams, executing per plan, and messaging status/issues to management.
• Ensures all data is secure and follows company policies regarding data classification. Has strong knowledge of IT controls and cyber security concepts and applies to engagements.
• Leads the development and implementation of advanced statistical models, machine learning algorithms, and predictive analytics to identify business risk to support audit decisions. Applies analytical models (e.g., regression, simulation, statistical, etc.) to audit scope areas to identify outliers, trends and/or projections, where appropriate.
• Uses advanced data concepts, tools, and programming techniques (e.g., Incorta, AWS Redshift, Tableau, Datalakes, Oracle Business Intelligence, Teradata and/or comparable platforms) to perform extract, transform, load (ETL) and data analysis activities, and actively shares knowledge with team members.
• Provide hands on guidance to team members on the use of data analysis tools and platforms, (e.g. Python, SQL, AWS, Tableau).
• Creates, documents, and reviews test procedures and scenarios for Unit/SIT/UAT, executes UAT with CGA COEs, and resolves defects, as necessary. Ensures that test procedures and scenarios are appropriate, includes both positive and negative testing, and validates all deliverables are operating as designed.
• Supports the change control process by documenting change requests/requirements and working with Data Team members to implement and test.
• Supports department objectives and performs other duties and responsibilities, as assigned.

How You Deliver

• Demonstrates the ability to quickly relate complex business processes, applications, data, and organizations to identify and resolve business issues. Applies strong technical and analytical skills as well as business knowledge.
• Stays current on data analytics trends (e.g., new tools, statistical methods, visualization techniques), relevant business risks, as well as emerging technologies that impact how and where data and automation can be used on audits and in support of key company controls (e.g., AI, Blockchain, RPA).
• Maintains a strong executive presence and demonstrates the ability to develop and maintain relationships with key business partners.
• Exhibits a commitment to continuously self-improve by working with leadership to leverage strengths and focus on areas of development. Shows a commitment to self-improvement spanning business acumen, technology, leadership, communication, etc.
• Performs effectively as a project leader across engagements.
• Shows flexibility in prioritizing and completing tasks, allocating/re-allocating work across engagement team members, and proactively resolving issues.
• Motivates engagement team to deliver high quality work on time.
• Assists less experienced team members with furthering their own development during the course of engagements.
• Exercises consistent judgment and discretion in matters of significance. Supervises engagement staff member’s interactions with business management, comfortably raises issues quickly, and helps team members to resolve issues.
• Exhibits willingness to tackle new areas and challenging topics.
• Demonstrates the ability to work in a complex, dynamic, and fast-paced environment.
• Develops an enterprise risk mindset by applying relevant business risks (e.g., current events, audit trends, cyber security, etc.)
• Acts in accordance with stated Comcast audit department and company policies and practices, and maintains the highest degree of integrity in all activities and interactions.
• Displays regular, consistent, and punctual attendance. Able to work nights and weekends, variable schedule(s), and potential travel, as necessary.

How You Partner

• Partners with internal CGA teams (e.g., FinOps, AuditOps, and Technology) across engagement activities. Collaborates with members of CGA engagement teams to understand audit activities and identifies ways that data analytics and/or automation can enhance overall work product, productivity, or audit coverage.
• Collaborates with business partners to develop a common vision for automation of key controls and resulting output for audit consumption.
• Coordinate with auditors, business partners, and other Data Team leaders to ensure consistent testing across corporate entities. Respectfully brainstorm and identify standardization opportunities increasing re-use and sharing and enabling consistency.
• Exhibits strong interpersonal skills including highly effective written and verbal communications.
• Shows respect to other team members and clients in all interactions.
• Collaborates in a virtual environment to complete projects with team members in various locations.
• Proactively builds relationships with client business partners (e.g., Legal, Human Resources, Security, IT, etc.) that are sources of data and recurring Fin Ops processes / testing to build a culture of trust, collaboration, accountability, and responsiveness.
• Demonstrates a willingness to assist other team members in areas outside of direct assignments when necessary.
• Assist in fostering a team-oriented environment and helps with the development of a highly motivated professional staff with a passion for excellence, by providing meaningful and challenging assignments.
• Coaches and mentors engagement team members to develop data analytics, automation techniques, and business knowledge.

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors and our communities.

Disclaimer:

• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an EOE/Veterans/Disabled/LGBT employer.

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; Structured Query Language (SQL); Collaboration; Data Analysis; Strategic Thinking; Python (Programming Language); 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

7-10 Years

Keywords:

Data Solutions Manager, Analytics, Automation, Fin Ops Audit, Machine Learning, Data Analysis, Project Management, Data Visualization, Statistical Models, Collaboration