Manager, COE Supply Chain Planning

Key Skills

Data Analysis, Data Mining, Design, Large data sets, Machine learning techniques, Python Programming, Supply Chain Management

Job Description

Responsible for supporting Center of Excellence in Supply Chain Planning team implementing o9 Planning Solution. Becomes a subject matter expert in demand/supply planning solution design in o9, understands user interfaces, existing measures, procedures and plug in’s and maintains them with latest business developments. Works with high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Responsible for supporting a team which design, develop and program supply chain planning methods, processes, and systems to consolidate and analyze data sources to generate actionable insights and solutions for client services and product enhancement.

Core Responsibilities

• Serve as a mentor and subject matter expert within the o9 planning platform, training and mentoring direct reports and dotted lines for efficient use of the system at every level. O9 experience required.
• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Leads development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. IBPL knowledge required. Python knowledge preferred.
• Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models).
• Leads development and execution of statistical and mathematical solutions to business problems to support larger initiatives. Leads creation of data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
• Leads creation of data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
• Manages the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets. Manages development and deployment of predictive models based on historical data that provide future predictions about customer behavior.
• Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data.
• Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
• Creates and oversees deliverables and presentations that report methodology and results of analysis.
• Leads the development of customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data.
• 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.
• 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.

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