UWEBC
PeopleTalent and Learning

Skills-Based Talent Strategy

Learn how moving from degree-based to skills-based hiring, promotion, and development broadens talent pools and improves agility.

 - 11:00 am CT
Virtual

Please login or sign up for a UWEBC Member Account to register for or join this event.

Description

What to Expect from the Conversation
 
Based on current research and experiences, this session will explore the fundamental shift of skills becoming the new organizational—and individual—currency. We expect the conversation to focus on the key stages in transitioning to a skills-based talent strategy:

  • Stage 1: Planning for the transition and piloting the process
  • Stage 2: Expanding the transition and adapting to organizational challenges
  • Stage 3: Adopting a skills-based culture and capturing lessons learned
Key discussion points will likely include:
  • How to get started on your journey to a skills-based talent strategy, drawing on practitioners who have been there and done that
  • How to expand the skills-based strategy beyond a single area or function and adapt as organizational priorities shift
  • How to transition to a fully skills-based organization—or a hybrid approach that blends traditional and skills-based talent strategies—based on lessons learned from leaders on the front lines
Member Spotlights and Takeaways

We're delighted to feature three Wisconsin talent and organizational leaders contributing their perspectives to this conversation:

  • Christine Gunderson — Organizational Development Manager, KI (Green Bay). Aligns talent and leadership strategy with enterprise priorities through data-informed development and internal mobility. New North 40 Under 40 honoree.
  • Antonia Turnquist — Director, Talent Strategy and Acceleration (Global Head of Talent), Zendesk (Madison). Leads global talent strategy, partnering with executive teams on data-driven solutions that scale emerging businesses and guide large enterprises through transformation.
  • Jami Garrity — Director of Talent Acquisition, FTI (Appleton). Has spent more than a decade building FTI's recruiting function, leading corporate sourcing across engineering, IT, and director-level searches, and serving as recruiting lead for the company's Workday implementation.

Alongside these spotlights, the session will draw on expert research and real-world context from organizations seeing measurable improvements in skills forecasting and reaching full productivity faster by leveraging skills to support talent development and internal mobility.

Participants will walk away with takeaways and actionable ideas to begin their own phased implementation roadmap.

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Participate in Customizing the Agenda
 
You’ll have the opportunity to play an active part in shaping the agenda for this session – and to maximize its relevance for you – by suggesting and selecting topics for breakout discussions.

Key Learning Outcomes

Speculative Learning Outcomes
 
By the end of this session, participants will be able to:
  • Identify the core components of a Skills-Based Organization (SBO) and the strategic drivers for adoption.
  • Outline a framework for overhauling job descriptions and interviewing processes to focus on demonstrable capabilities rather than traditional credentials.
  • Evaluate the role of integrated L&D platforms in providing personalized, skills-aligned learning paths that improve training ROI.
  • Develop strategies to overcome cultural resistance and shift managerial incentives to reward talent stewardship over departmental retention.

Audience

This event is specifically designed for professionals in the Talent and Learning domains, including:
  • HR and Talent Acquisition Leaders seeking to broaden talent pools.
  • L&D Professionals tasked with aligning reskilling programs to immediate and future business needs.
  • Operations and Business Unit Leaders who require greater agility in deploying human capital to meet evolving project demands.
  • Strategic Planners interested in the infrastructure and governance required to manage skills data at scale.