Senior Workforce Enablement Advisor

As passionate about our people as we are about our mission.

Why Join Q2?

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.

What Makes Q2 Special?

SUMMARY:

The Workforce Enablement Advisor is a strategic advisor and practitioner responsible for equipping leaders and employees across the organization with the skills, knowledge, and capabilities needed to thrive in an AI-enabled environment. Working in close partnership with business leaders and AI Champions, this role designs and delivers enablement plans and learning experiences that build AI proficiency at every level of the organization.

This is a high-impact, cross-functional role that sits at the intersection of learning & development, change management, and AI strategy. The Advisor will serve as a trusted consultant to functional and business unit leaders, helping them understand their team's enablement needs and crafting tailored approaches to upskilling and reskilling. As the organization's AI enablement footprint grows, this role will be pivotal in ensuring that learning is cohesive, measurable, and aligned to strategic priorities.

RESPONSIBILITIES:

Advisory & Consulting

• Serve as a trusted advisor to business leaders and AI Champions across all functions, providing expert guidance on workforce enablement strategy and execution.
• Conduct learning needs assessments by partnering with functional leaders to understand the specific enablement gaps, priorities, and constraints within their teams.
• Develop and recommend bespoke enablement approaches tailored to the unique context of each business unit, balancing standardization with flexibility.
• Advise on change management considerations when introducing new AI tools, workflows, and ways of working.

Learning Pathway Development

• Design, build, and continuously improve structured learning pathways that guide employees through the organization's AI proficiency matrix, from foundational awareness to advanced application.
• Curate and develop learning content including instructor-led training, e-learning modules, job aids, workshops, and experiential learning activities.
• Partner with subject matter experts, AI Champions, and external vendors to ensure learning content is accurate, current, and impactful.
• Establish assessment and credentialing mechanisms to track and validate employee progress through proficiency levels.

Upskilling & Reskilling

• Provide hands-on guidance to managers and employees on how to approach upskilling initiatives, including goal-setting, learning planning, and progress tracking.
• Support reskilling efforts for roles that are evolving significantly due to AI adoption, working with HR Business Partners and functional leaders to design transition pathways.
• Identify high-priority upskilling opportunities across the organization and recommend where to concentrate enablement investment for maximum impact.

Knowledge Synthesis & Best Practice Sharing

• Facilitate a structured process to capture, synthesize, and disseminate learnings and enablement activities happening across business units.
• Curate and maintain a repository of best practices, case studies, and enablement resources accessible to the AI Champions network and business leaders.
• Host regular forums, retrospectives, or working sessions with AI Champions to surface what is working, identify gaps, and co-create solutions.
• Develop and maintain dashboards or reporting mechanisms to track enablement activity, engagement, and outcomes across the organization.

Communication & Campaigns

• Partner with the Communications team to design and execute enablement-related communication campaigns that drive awareness, participation, and engagement.
• Develop messaging frameworks and communication plans that translate complex AI concepts into accessible, motivating language for diverse employee audiences.
• Support the launch of new learning programs, tools, and resources through coordinated communication strategies across relevant channels.

Program Management

• Manage the end-to-end lifecycle of enablement programs including planning, execution, measurement, and iteration.
• Track and report on key enablement metrics such as participation rates, proficiency progression, and business impact indicators.
• Coordinate logistics for training events, workshops, and enablement activities across multiple business units and geographies.

EXPERIENCE AND KNOWLEDGE:

Required

• Bachelor's or Master’s degree in a relevant field (Business, Organizational Development, Human Resources, Education, or similar)
• 8+ years of progressive experience spanning some combination of learning & development, HR business partnering, organizational effectiveness, management consulting, or program management — with demonstrated ability to work across multiple disciplines; (6+ years with Master’s degree).
• Hands-on familiarity with AI tools in a professional context; personal track record of experimenting with and adopting emerging technologies. Deep AI expertise is not required, but intellectual curiosity and comfort operating in ambiguity are essential.
• Experience designing and delivering learning programs for adult, professional audiences — including both structured curricula and informal/experiential approaches.
• Background working directly with senior business leaders in an advisory or consulting capacity, with the credibility and communication skills to influence without authority.
• Excellent communication and facilitation skills, with the ability to engage and influence stakeholders at all levels.
• Comfortable working in ambiguous, fast-moving environments with the ability to prioritize effectively and manage multiple workstreams simultaneously.
• Collaborative mindset with the ability to build trusted relationships across a distributed, cross-functional network.

Preferred

• Hands-on experience with AI tools (e.g., generative AI, automation platforms) and a genuine curiosity about the evolving AI landscape.
• Prior experience in AI enablement, digital transformation, or technology adoption programs.
• Familiarity with competency frameworks and skills taxonomies, particularly as they relate to digital or AI literacy.
• Experience with learning management systems (LMS), content authoring tools, or learning experience platforms (LXP).
• Knowledge of change management frameworks (e.g., Prosci, ADKAR) and their application in large-scale transformation efforts.

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Health & Wellness

• Hybrid Work Opportunities

• Flexible Time Off 

• Career Development & Mentoring Programs 

• Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents 

• Community Volunteering & Company Philanthropy Programs 

• Employee Peer Recognition Programs – “You Earned it”

Click here to find out more about the benefits we offer.

Our Culture & Commitment:

We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact—in the industry and in the community.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.

Applicants in California or Washington State may not be exempt from federal and state overtime requirements