NBCUniversal

Sales Engineer

• Responsible for providing subject matter expertise on the design and implementation of complex data network and voice solutions for business class customers.
• Works as a collaborative member of the sales team to market and sell the Company's product lines.
• Provides insight to customers on current network solutions.
• Works closely with account executives on presentations and the technical design of new sales.

Sales Engineer 3

Artificial Intelligence

• Ensure effective front and backend functionality of applications
• Establish root causes of application errors
• Monitor application performance metrics
• Analyze available data to find the root cause of problems
• Handle and prioritize incidents
• Perform impact analysis
• Coordinate with cross-functional teams and ensure timely resolutions

Lead Analyst, AI Ops Configuration

Account Executive

• Retain business customers through solution-based selling via telephone
• Make outbound calls to achieve sales quotas
• Document customer interactions accurately in client management system
• Drive account retention by minimizing customer downgrades or attrition

Customer Account Business Sales Representative

Engineer

• Design and maintain conceptual, logical, and physical data models for domain-owned data products
• Translate product requirements into consumer-friendly analytical models, entities, and metrics
• Build domain-aligned, analytics-ready data structures optimized for modern access patterns
• Define and maintain semantic layers and shared business definitions across data products
• Align data product models with modern data architecture patterns (lakehouse, multi-layered data platforms)
• Partner with data platform and engineering teams to ensure data products are efficiently implemented in Snowflake and Apache Spark
• Contribute to standards for schema evolution, data contracts, and backward compatibility
• Work closely with data product managers, analytics engineers, and business stakeholders to refine product requirements
• Act as a modeling subject-matter expert within data product teams
• Support onboarding and adoption of data products by downstream consumers
• Embed data quality, consistency, and usability into data product designs
• Maintain clear documentation for data products, models, and metrics
• Support metadata, lineage, and discoverability initiatives aligned to data product governance

Data Modeler, Engineer 3

Sales

• Promotion and selling of XFINITY Residential products
• Door-to-door canvassing for sales
• Developing rapport with customers
• Evaluating customers' needs and making recommendations
• Increasing customer understanding of Comcast products and pricing
• Meeting physical requirements of the job
• Working nights and weekends as needed

Sales Professional

Operations

• High-level customer-facing engineering support focused on Installation Support and Day 2 Service Assurance Support
• Design, configure and deploy LAN and WAN network connections
• Optimize the network and systems services and troubleshoot network performance issues
• Responsible for the service provision and monitoring of the network infrastructure
• Work directly with customers to troubleshoot and resolve network issues
• Exercise independent judgment and discretion in matters of significance.

Engineer 2, Excellence in Operations

Product Manager

• Own and drive the product vision and roadmap for multiple data products
• Translate business needs into clear product requirements, user stories, and prioritized backlogs.
• Drive alignment between business objectives and enterprise data strategy.
• Ensure accurate ingestion, transformation, and data modeling across enterprise analytics platforms.
• Partner with Research and Analytics teams to ensure methodologies, calculations, and metrics align with industry standards and business expectations.
• Identify opportunities to apply AI, automation, and agent-based solutions to improve insight generation and operational efficiency
• Establish and enforce data quality standards, validation rules, and reconciliation processes.
• Collaborate with Data Governance teams on metadata, data dictionaries, semantic layers, and data mesh registration.
• Work closely with Data Engineering and Platform teams to deliver scalable, reliable, and performant analytics solutions.
• Own acceptance criteria and validate delivered features against business and data quality requirements.
• Proactively manage risks related to data changes, vendor updates, and metric deprecations.
• Communicate product roadmap, progress, and impact to executive and senior leadership.
• Act as the primary point of contact for stakeholders across Analytics, Research, Ad Sales, Programming, and Marketing.
• Drive adoption by ensuring products are intuitive, well-documented, and aligned to user workflows.

Product Manager, AI – Enterprise Data

• Responsible for the sale of Comcast Commercial Internet, Video, and Voice services
• Develops sales territory and cultivates local partnerships
• Designs and delivers live sales presentations
• Maintains accurate sales records

Mid-Market & Enterprise Account Executive

Security Engineer

• Lead comprehensive, organized retail crime investigations
• Conduct targeted investigations into Xfinity Mobile fraud
• Analyze POS data, activation logs, account activity, surveillance footage
• Partner with law enforcement agencies to build cases
• Prepare investigative reports for senior management and stakeholders
• Conduct investigative interviews
• Collect, document, store, and maintain evidence according to guidelines
• Participate in fraud awareness and training programs
• Assist in compliance efforts by ensuring adherence to laws and regulations

Senior Security Investigator

• Sell Comcast Internet, Data, Video and Voice services to small and mid-size businesses
• Create and deliver face-to-face sales presentations
• Promote the sale of bundled products
• Maintain quality sales records and prepare sales reports
• Responsible for Customer Satisfaction
• Focus on advanced communications solutions including PRI, Hosted PBX and multi-location opportunities

Senior Business Account Executive, SMB Direct Sales – Outside Sales

Customer Support

• Provide support for customers to ensure a positive experience
• Build rapport while promoting effective relationships
• Handle customer inquiries and retain customers
• Re-build customer relationships by reselling benefits of products and services

Customer Experience Representative – Retention Services

Data Engineer

• Leverage prototyping methodologies to propose and design creative business solutions that exploit our broad toolset of technologies (Big Data, MicroStrategy, Tableau, Python, Spark etc.)
• Work in Spark Scala, Python and Pandas in an AWS Infrastructure
• Educate and inform business partners on architecture, capabilities, best practices and solutions to build out future enhancements
• Assist in analyzing business requirements, source systems, understand underlying data sources, transformation requirements, data mapping, data model and metadata for reporting solutions
• Write clear documentation and architecture diagrams ,and keep them up to date as code and frameworks change over time.

Data Engineer, Data Products

Support Engineer

• Provide complex technical solutions and troubleshooting for product implementations
• Support business operations by addressing product issues
• Collaborate with Sales teams for product modifications
• Lead product demonstrations to customers
• Develop test procedures and execute validation plans
• Document technical specifications and capabilities

Senior Support Engineer – FreeWheel

• Sell Comcast Internet, Data, Video and Voice services to small and mid-size businesses
• Promote bundled products for optimal customer solutions
• Maintain sales records and prepare activity reports
• Generate leads through prospecting activities like cold calling and referrals
• Team with technical and customer service staffs for end-to-end customer satisfaction.

• Set the strategic direction for data products across multiple technical platforms, domains, and functional areas by evaluating business cases, finding the +1 opportunity, and guiding the team in socializing concepts.
• Work through Technical Product Managers to convert these opportunities into product features and detailed data product requirements and roadmaps (use cases, MVP, epics, user stories, success metrics), while understanding the broader business impact for the data ecosystem.
• Champion a deep understanding of customer and business stakeholder perspectives when defining MVPs to identify underlying needs, recognize trends, and anticipate future demand across supported domains.
• Ensure the team translates these insights into data product features that meet user expectations ,influence broader roadmap and prioritization decisions.
• Own the strategy and lifecycle of key data products across supported platforms and domains.
• Define what data products are needed, how they are designed and consumed, and how they evolve to meet changing business, customer, and AI/analytics needs.
• Direct Technical Product Managers, data engineering, and analytics teams on priorities for new data products, enhancements, and retirement so the overall data product portfolio remains usable, reliable, and high‑value.
• Provide strategic direction across multiple technical platforms and data environments, ensuring technology decisions support long-term scalability, performance, and reliability.
• Partner with engineering and other leaders to evaluate options, resolve key technical trade-offs, and sponsor architectural approaches that effectively address market, customer, and business needs.
• Deliver clear, compelling storytelling for the data product portfolio that drives consensus and energizes executives and constituents across the company.
• Set the standard for how the team communicates product strategy, status, risks, and outcomes through documentation, internal enablement materials, and executive presentations.
• Oversee the translation of product strategy into executable technical work by reviewing high-level technical designs, capacity plans, and major delivery milestones, while keeping day-to-day hands-on product management to a minimum.
• Remain intimately familiar with product details and team challenges, ensuring backlog grooming and delivery plans result in features that consistently meet business and technical acceptance criteria.
• Act as the senior go-to leader for assigned data products and domains, enabling and unblocking teams as they support internal users with complex questions and issues.
• Foster a culture of open feedback, making sure structured input from users and partners is fed back into product roadmaps and backlogs, and take end-to-end responsibility for team culture, resources, and product outcomes—you succeed or fail with your team.
• Oversees development of assigned new products and services and ensures customer's needs are met.
• Provides product support and documentation and develops of product materials.
• Manages lifecycle of new products and services.
• Demonstrates excellent project management skills, with a proven track record of successful delivery of projects on time, in line with budget expectations and to strategy.
• Consistent exercise of independent judgment and discretion in matters of significance.

Sales Engineer 3

Lead Analyst, AI Ops Configuration

Customer Account Business Sales Representative

Data Modeler, Engineer 3

Sales Professional

Engineer 2, Excellence in Operations

Product Manager, AI – Enterprise Data

Mid-Market & Enterprise Account Executive

Senior Security Investigator

Senior Business Account Executive, SMB Direct Sales – Outside Sales

Customer Experience Representative – Retention Services

Data Engineer, Data Products

Senior Support Engineer – FreeWheel

Senior Business Account Executive, SMB Direct Sales – Outside Sales

Director, Data Product Management