Principal Machine Learning Revenue Architect

Role Description

The Machine Learning Revenue (MLR) Architect is a senior leadership role responsible for leading and coordinating the strategic development of MLR solutions. This position requires a blend of business understanding, critical thinking skills along with expertise in Machine Learning (ML) methodologies, business process and systems architecture design. Key duties include:

• Opportunity Definition: Work with business and operational teams to understand the problem, the operational and system constraints, the available data, and decision points. Communicate this to the team to ensure team members have a clear understanding of the problem. Define how opportunities fit within the long-term evolution of the systems.
• Define Project KPIs and Analytics Strategies: Based on the problem and the available data, determine how we can measure success and monitor system outcomes/dynamics.
• Solutions Design: Define and drive the evolution of the solution, identifying points of high leverage, and phases/evolution of the system. Determine whether and how 3rd party capabilities can be integrated into the solution. Solutions may include changes to data, operational processes, and software systems.
• Project Stewardship: Evolve plans and direction as we iteratively gather feedback and learn about solution effectiveness. Identify and resolve roadblocks, miscommunication, and misunderstanding, and, as needed, adapt plans to meet target timelines.
• Stakeholder Management: Collaborate with cross-functional leaders to identify opportunities, communicate and evaluate solutions, and gather feedback.
• Team Leadership: Mentor data scientists and analysts, fostering a collaborative and high-performing environment. Passionate about solving problems, and inspires similar spirit in team members.
• Technical Direction: Provide technical guidance, set standards, and ensure the team uses appropriate tools and methodologies.
• Innovation: Stay current with emerging trends in data science, AI, and big data technologies to drive innovation and maintain a competitive advantage.
• 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.

Qualifications

• Education: A Master's or PhD in a quantitative field such as Management Science, Computational Economics, Statistics, or Computer Science, or equivalent industry experience.
• Experience: Extensive experience in Advertising Technology, with a proven track record of delivering business results.
• Business Acumen: Strong understanding of how math can be leveraged to solve business problems and drive growth. Strong understanding of digital advertising ecosystem and technologies.
• Exceptional problem-solving and critical thinking skills.
• Technical Proficiency: Strong expertise in statistical analysis, machine learning, data mining, and data visualization.
• Programming: Proficiency in languages like Python or R, and experience integrating solution into the enterprise infrastructure.
• Big Data: Experience with big data technologies such as Hadoop and Spark.
• Leadership: Proven experience in leading and managing teams of technical professionals.
• Communication: Excellent communication and presentation skills to translate complex data into actionable business strategies for various audiences.

Requirements

• 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.

Benefits

• Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience.
• 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.
• Comcast provides best-in-class Benefits to eligible employees, including an array of options, expert guidance, and always-on tools to support employees physically, financially, and emotionally.

Company Description

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.