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Data Science Learning and Development Manager (P4465)

84.51°

$99,000 - $167,900
Aug 12, 2025
Cincinnati, OH, US • Chicago, IL, US
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84.51° needs to evolve its data science training strategy, build new scalable solutions, and drive AI enablement across the organization.

Requirements

  • Strong technical foundation with experience in SQL, PySpark, Power BI, Databricks, and Python
  • Experience with Degreed and to curate engaging training content

Responsibilities

  • Maintain L&D Power BI dashboards to measure engagement, and enhance dashboards to broaden visibility, streamline processing, and improve accountability
  • Serve as a key contributor to AI enablement efforts, partnering with KTD and enterprise L&D to scale AI education across the enterprise
  • Contribute to content provider strategies and engagements with existing platforms such as Pluralsight, Coursera, and Degreed, and evaluate fit of potential future vendors
  • Support trainers in designing and publishing content using Degreed and the LXD (Learning Experience Design) framework
  • Implement and manage training governance processes to ensure content quality, discoverability, and alignment with evolving standards

Other

  • Own and evolve the data science learning and development strategy, building on existing frameworks and introducing innovative approaches
  • Lead the execution of the 2026 data science curriculum, including identifying quarterly training priorities with leadership and coordinating with internal and external trainers
  • Present training initiatives through regular newsletters, in-person presentations, and other communication channels to drive awareness and participation
  • Collaborate with cross-functional L&D partners to identify and execute shared training opportunities
  • Operate with flexibility and resilience in a dynamic environment, providing thought leadership and hands-on support where needed
  • Influence stakeholders through positivity, clear communication, and constructive feedback to ensure training success
  • Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, or a related field
  • Proven ability to lead through ambiguity and deliver results in a fast-paced, evolving environment
  • Excellent communication and presentation skills with experience engaging technical and non-technical audiences
  • Demonstrated ability to collaborate across functions including HR, client-facing, and leadership teams
  • Passion for learning, teaching, and enabling others through high-quality training experiences
  • Experience managing or contributing to enterprise-wide learning and development initiatives
  • Familiarity with training governance and content lifecycle management
  • Experience scaling training programs across diverse technical audiences
  • Strong stakeholder management and influence skills, especially in matrixed organizations
  • Background in AI education or enablement initiatives