Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels. Job Summary Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels. Comcast Advertising Media Solutions and Data team is hiring a Manager, Data Engineering who will lead a team of data engineers responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our Audience and Measurement, Attribution & Reporting teams. This role is pivotal in enabling data-driven advertising solutions that power Comcast's ecosystem. Reporting to the Director of Data Engineering, you will collaborate with cross-functional teams to ensure high-quality, reliable data flows that fuel business growth. Job Description Core Responsibilities - Lead the team, providing mentorship, coaching, and regular feedback to enable hands-on career development. - Scaling the team and supporting them in their growth. Identify and provide team members with growth opportunities that align with their career goals. - Ensure all engineers keep current with technological developments within the industry. - Advocating for improvements to data quality, security, and performance. - Ensure on-time delivery of solutions without sacrificing sustainability, avoiding technical debt. - Iterate on regular process meetings that help maintain strong communication among the team. - Partner with stakeholders to help develop and continuously refine the short- and long-term roadmap. - Serves as the primary point of contact and liaison between teams. - Manage all the deliverables to ensure adherence to deadlines, specifications, and budgets. Monitor project progress and report findings to the leadership team. - Initiate, influence, and drive a diverse set of data-oriented problems, working with a wide range of teams and learning a great deal about ad-tech in the process. - Conduct work performance reviews, and ensure work performance is adhering to Company standards. - Consistent exercise of 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. What We're Looking For: - Ideally 5+ years of data engineering experience. - Communication and leadership experience, with experience initiating and driving projects. - Passion for growing and developing engineers, helping them level up in their careers. - A track record of fostering collaboration among team members through an effective process. - Ability to make the tradeoffs required to ship without compromising quality or team health. - A self-starter, comfortable with ambiguity and enjoying working in a fast-paced dynamic environment. - Experience helping maintain a technical roadmap and balancing novel asks from engineering, product, and other stakeholders against improvements to the existing platform. - Expertise in at least one backend language, such as Java, Scala, C++, Python - we build our services with Python. - Familiarity with ETL and creating pipelines for large datasets. - Experience utilizing cloud infrastructure - We build and maintain high-quality data solutions on the state-of-the-art cloud-native data platform using AWS, Databricks and Snowflake. - Experience scaling and managing 3+ person teams 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. - Support a culture of inclusion in how you work and lead. - 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 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. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant's criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment. Skills: Data Engineering; Artificial Intelligence (AI); Data Operations Salary: National Pay Range: $97,815.94 USD-$229,256.11 USD Illinois Pay Range: $103,929.44 USD - $201,745.38 USD Colorado Pay Range: $110,042.93 USD - $210,915.62 USD Hawaii Pay Range: $128,383.42 USD - $192,575.13 USD Washington DC Pay Range: $140,610.41 USD - $210,915.62 USD Maryland Pay Range: $116,156.43 USD - $210,915.62 USD Minnesota Pay Range: $110,042.93 USD - $192,575.13 USD New York Pay Range: $116,156.43 USD - $229,256.11 USD Washington Pay Range: $110,042.93 USD - $220,085.87 USD New Jersey Pay Range: $122,269.93 USD - $220,085.87 USD Vermont Pay Range: $116,156.43 USD - $183,404.89 USD Massachusetts Pay Range: $122,269.93 USD - $220,085.87 USD California Pay Range: $110,042.93 USD - $203,783.21 Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. 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 5-7 Years

Role Description The course title is MHI2023H – Data Governance in Health Informatics. The course will focus on how the healthcare system can optimize and leverage the information collected to meet evolving needs for data usage across organizations while adhering to legal and privacy obligations. The course will cover both theoretical/conceptual and operational aspects of data quality, responsible use of data, and outcomes assessment using real-world applications. Case examples of initiatives leading the way in this new data environment will also be provided. - Identify the multiple objectives served by data governance. - Describe the key approaches to governing data flows in Western societies. - Identify and diagnose data governance gaps in their organization. - Identify, critically appraise, and apply the appropriate data governance tools to address data governance needs appropriate to the context. Qualifications - A PhD or Masters level education with experience in health informatics and information technology. - A robust understanding of EHR interoperability standards and architecture, data governance, software development life cycle, project management, change management, and stakeholder engagement for IT systems. - An extensive knowledge of the eHealth landscape in Canada. - Past teaching experience related to health informatics, preferably at the graduate level. - Prior experience in curriculum development and adult teaching-learning methods. - Comfortable with electronic teaching tools such as Learning Management Systems (e.g., Quercus), PowerPoint, as well as online collaboration tools (Blogs, Wikis, Discussion Boards, Webinars, or Video-conferencing). Requirements - Course instructor for a professional graduate course using competency-based learning and assessment methods. - Must be accessible to students outside of classroom hours. - Available evenings and weekends. Salary - $9,997.47 - Sessional Lecturer I - $10,699.21 - Sessional Lecturer I - Long Term - $10,699.21 - Sessional Lecturer II - $10,953.96 - Sessional Lecturer II - Long Term - $10,953.96 - Sessional Lecturer III - $11,228.90 - Sessional Lecturer III - Long Term Application Please send your CV and cover letter via e-mail to ihpme.cupe.unit3@utoronto.ca. Closing Date: June 29, 2026 This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement. Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

Role Description The Canadian Data & Analytics function is at an inflection point. As Skip invests to become an AI-first business, the reliable cross-cloud pipelines, trusted consumption layer and engineering discipline that underpin it sit with the Data Engineering team. As Senior Manager, Data Engineering, you'll lead a team of data and analytics engineers, plus a contractor pod, building the platforms and consumption layer that power decisions, ML and customer experiences across Skip Canada. You'll operate at the intersection of a global AWS streaming platform and a Canadian GCP analytical estate (BigQuery, dbt, Snowplow, Tableau), partnering with Global Data Engineering, local Product & Tech and the wider DNA team. The team and platform are mid-transformation, so this is a build role — technical leadership and team-building in equal measure. You'll bring clarity to standards and priorities, grow the team's craft and represent Data Engineering to senior stakeholders, leading, delivering and caring. Location: Winnipeg/Toronto Remote Reporting to: Associate Director of Data & Insights - Own end-to-end reliability of the cross-cloud pipeline — batch and streaming architectures and external APIs through to GCP (BigQuery, Dataflow, dbt) and consumption. - Lead the build-out of Canada’s Gold/semantic consumption layer with data contracts and SLAs, and retire the legacy analytics warehouse. - Partner with the Lead Data Engineer on system design of our application databases and services, mapping the interactions critical to the warehouse. - Raise engineering standards across data and analytics engineering and own incident response for Tier-1 pipelines. - Lead, coach and grow data and analytics engineers plus a contractor pod — planning headcount, hiring and managing performance. - Represent Data Engineering to senior stakeholders and Global Data Engineering, translating technical trade-offs into business terms and helping the team succeed. Qualifications - Hands-on command of streaming and batch platforms — Kafka/Confluent, lakehouse formats, Airflow — across a multi-cloud AWS and GCP estate. - Architecture and modelling mastery: led a Gold/semantic layer from scratch in a marketplace or federated org, with expert BigQuery, dbt and dimensional/medallion modelling, defending trade-offs. - Stood up an Analytics Engineering practice, coaching analysts into engineers on dbt modelling — incremental-vs-full-refresh trade-offs, quality gates and Slim CI for run-time/cost. - Sets engineering standards where they’re missing — code review, CI/CD, testing, data contracts and governance. - A people leader who builds and develops teams, and a credible partner who explains trade-offs to stakeholders and pushes back constructively. - Thrives in ambiguity, a builder not a maintainer, honest and direct. - Nice to have: ML exposure (Vertex AI, SageMaker). Benefits - Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. - Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. Compensation Compensation range: $120,000 - $160,000. Final compensation may vary based on skills, experience, and internal equity.

• Architect and deliver trusted data sets and services from complex data sources and environments for DTN customers and partners • Design and implement modern data and analytics architectures, establishing best practices for data integration, acquisition, and management • Provide expert-level support for complex data infrastructure and technical challenges • Lead continuous improvement initiatives across data management standards, patterns, and engineering practices • Develop and maintain enterprise documentation, standards, reference architectures, and reusable patterns for data acquisition, transformation, storage, and analytics consumption • Ensure data governance, security, and compliance standards are implemented consistently across solutions • Identify opportunities to improve internal processes through automation, innovation, and scalable data infrastructure solutions • Establish architectural direction and technical standards across the Data and Analytics domain • Mentor junior data engineers and provide technical leadership to cross-functional teams