Transformed Talent Management to Improve Compensation Decision-Making

Transformed Talent Management to Improve Compensation Decision-Making

Transformed Talent Management to Improve Compensation Decision-Making

Strategic

Presentation

Universal

30 minutes

Jonathon Frampton

VP Total Rewards, Performance and Shared Services, Baylor Scott & White Health

Baylor Scott & White Health

Learn how Baylor Scott & White Healthcare transformed their talent management and performance process during a pandemic. Understand the culture shift necessary, the measurable improvement and how this new Talent Framework will power compensation and talent movement decisions.

Strategic

Transformed Talent Management to Improve Compensation Decision-Making

Talent Management, Performance, BI

Challenges and opportunities:

  • Overburdensome systems (difficult to implement or communicate) are distracting from meaning and value for employees
  • Accountability for engagement, career development and performance are local and the responsibility of individual teams
  • Processes, tools and technology at scale is difficult but there are constants to lean into
  • Analytics, in particular prescriptive analytics, can change leader and employee experience.

This session will explore:

  • Our history of talent approaches and the need for transformation – burning platform
  • The right side of the equation and how did we get there – the forces that drove us to define our destination
  • Our talent framework – the architecture (semi-technical), connectors and combinations of data that start to paint a picture
  • Recommendations not Rx – engagement, talent movement, career development – all is local – we cannot make decisions for leaders about their talent just like we should not about how they spend their money
  • Maturing our transformation – what are the next steps – increased automation and prescription, driving intelligent workflows.

Key takeaways:

  • Inspiration from a proven application of analytics to improve talent practices
  • A semi-technical understanding of architecting a recommendation engine
  • Understanding the value of “right-to-left” thinking.

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Jonathon Frampton Total Rewards Baylor Scott White Health

Jonathon Frampton

VP Total Rewards, Performance and Shared Services, Baylor Scott & White Health

Proven leader with track record of consistently increasing responsibility across a spectrum of industries and functions for more than 15 years.

Digital-first Human Resources executive focused on driving measurable change and evangelising a mixture of hard data, academic rigour and human kindness.

My unique expertise in advanced analytics leads to performance improvements driven by digital-first architecture, simplified user experience, and continuous process improvement.

  • Certified data scientist – Johns Hopkins data science program – Coursera
  • Works with a number of organisations in an advisory capacity, focused on strategies to improve people performance, understanding and engagement.