招聘

Manager, Analytics Platform & Enablement
PA - Philadelphia, 1701 John F Kennedy Blvd
·
On-site
·
Full-time
·
2w ago
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 Manager, Analytics Platform & Enablement owns the Power BI platform experience and enablement model that allows Supply Chain teams to independently build, govern, and scale trusted analytics.
This is a builder-led leadership role requiring deep hands-on expertise in Power BI, semantic modeling, and analytics architecture, with exposure to modern cloud data platforms such as Snowflake and Microsoft Fabric. The manager partners closely with Data Product Owners, Data Engineering, DaaS teams, and Supply Chain business leaders to ensure analytics investments translate into sustained adoption and decision-making impact.
This job leads a data analytics team in providing business intelligence insights and developing models that inform key decisions. It ensures the integration of complex data sources and the translation of analysis into strategic recommendations. The role is essential in driving a data-centric culture and influencing company-wide outcomes.
Job Description:
Core Responsibilities:
Platform Ownership (Power BI)
- Own the end-to-end Power BI platform experience for Supply Chain.
- Lead platform administration and governance in partnership with BI Engineering, including capacity planning, workspace architecture, deployment pipelines, and lifecycle management.
- Define and evolve technical standards for semantic modeling, DAX optimization, query performance, row-level security, report UX, and accessibility.
- Design and execute the Power BI self-service analytics enablement strategy.
Analytics Enablement & Adoption
- Establish and lead a Supply Chain Analytics Community of Practice (CoP) to drive shared standards, learning, and alignment across teams.
- Enable teams through coaching, workshops, office hours, templates, and reference models.
- Identify and remove adoption friction across tooling, process, and standards.
- Enable Analytics Champions with guidance, proven patterns, coaching, and escalation paths.
Data Product Integration
- Build and maintain reference semantic models and canonical dashboards demonstrating standards.
- Review and guide complex or high-impact analytics solutions.
- Set the technical bar through demonstrated, credible builds and well-maintained documentation.
- Partner with Data Product Owners and Data as a Service (DaaS) teams to align analytics consumption with product intent and platform capabilities.
- Influence upstream data product design (metric definitions, semantic layers, analytics-friendly schemas) across Power BI, Snowflake, and DaaS platforms.
- Maintain strong hands-on Power BI expertise at the architectural and semantic modeling level
- Drive governed analytics consumption by promoting curated semantic layers and certified data products over direct or siloed data access.
AI Capability Enablement & Governance
- Own responsible enablement of AI capabilities across the analytics platform, including Power BI (Copilot, smart narratives, forecasting, NLQ), Snowflake Cortex AI, and Microsoft Fabric AI features.
- Define AI guardrails aligned with governance policies, semantic model integrity, and enterprise risk considerations.
- Scale AI adoption through repeatable standards rather than one-off experimentation.
Additional Responsibilities:
- Facilitating discussions with business leaders to capture data analysis needs and define technical requirements.
- Advising on data relevancy, sourcing alternatives to ensure robust analytics for stakeholder inquiries.
- Overseeing the analysis of complex data sets to identify actionable insights with self-service analytics tools.
- Managing the querying of disparate big data platforms, such as Teradata, SQL Server, Hadoop, and AWS.
- Leading the integration of data from multiple sources to support comprehensive analysis efforts.
- Conducting exploratory data analysis to identify key business drivers and validate hypotheses.
- Supervising the development of predictive models for forecasting key business metrics like sales and demand.
- Analyzing campaign and initiative outcomes to measure effectiveness and identify improvement opportunities.
- Presenting analytical findings to executives using narrative-driven reports and effective data visualizations.
- Promoting a culture of data-driven decision-making, curiosity, and collaborative team dynamics.
- 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) as necessary.
- Other duties and responsibilities as assigned.
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.
Skills
Analytics, Design Thinking, Leadership, Microsoft Power Business Intelligence (BI), Python (Programming Language), Snowflake (Platform), Structured Query Language (SQL) Development
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 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.
Certifications (if applicable)
Relevant Work Experience
5-7 Years
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.
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关于Comcast

Comcast
PublicComcast Corporation, formerly known as Comcast Holdings, is an American multinational mass media, telecommunications, and entertainment conglomerate.
10,001+
员工数
Philadelphia
总部位置
$170B
企业估值
评价
2.6
4条评价
工作生活平衡
2.0
薪酬
2.0
企业文化
2.5
职业发展
2.0
管理层
2.0
15%
推荐给朋友
优点
Free parking available
Large company with potential opportunities
Established technology company
缺点
Poor career growth opportunities
Low pay increases
Work-life balance concerns
薪资范围
27个数据点
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
Junior/L3 · DATA SCIENTIST 2
1份报告
$118,110
年薪总额
基本工资
$90,854
股票
-
奖金
-
$118,110
$118,110
面试经验
5次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
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