Medifast is hiring a

Vice President, Data Science & Engineering

Job Overview

  • Posted 3 weeks ago
  • Full Time
  • Baltimore, MD, USA
  • 81000

Roles & Responsibilities

VP of Data Science & BI will report into EVP Technology and will be accountable for a portfolio of Platforms, Applications, and Services that deliver the vision of “Connected Enterprise”. Ideal candidate would be passionate about “All Things Data” and have expertise in enabling Digital Transformation across the enterprise by providing accurate data and actionable insights “Reliably”.

VP will craft vision and strategy for data management, integration, innovation, and analytics support to all business functions. S/He will also be responsible for the evolution of underlying technology platform(s), identifying tools and technologies, and data governance to enable innovation.

Job Responsibilities

  1. Maintain a high performing Data Science, Engineering, and BI team that supports the data integration and business insights needs of various internal and external systems
  2. Build Enterprise Data Strategy to drive marketplace differentiation via strategic insights, by enabling experimentation, and by “Connecting The Enterprise”
  3. Grow the use of Machine Learning and Artificial Intelligence algorithms to improve Coach and Client Experience and Operational Efficiency
  4. Lead Enterprise Data Hub (EDH) to allow effective sourcing, warehousing and distribution of data
  5. Lead the Business Intelligence team and work closely with the business stakeholders to implement key use cases that unlock data as an enterprise asset
  6. Optimally use a scalable staffing model that leverages onsite, near-shore and offshore internal and vendor resources to ensure availability of skilled resources while optimizing spend
  7. Lead the Master Data Management (MDM) platform and collaborate with Data Owners and Stewards of key master sets to curate and enable a comprehensive foundation
  8. Develop and implement Enterprise Data Architecture that can support international expansion
  9. Work closely with the other Tech functions, including Information Security, Infrastructure, Delivery Management, Enterprise Tech, and Digital Engineering
  10. Develop and maintain consultative relationships with key stakeholders to effectively drive aligned business results
  11. Demonstrate knowledge of business operations and stakeholder needs in Direct Selling Consumer Goods environment
  12. Manage, mentor, build and lead high performing global teams in a manner consistent with organizational policies and values

Skills Required

  • Machine Learning
  • Python

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