Director Jobs

About The Position

Requirements

• Bachelor's degree or equivalent experience; advanced degree preferred.
• 10+ years of experience across AI/digital transformation, product management, strategy, operating-model design, innovation, or related fields.
• Demonstrated experience building and scaling new organizational capabilities or operating models.
• Strong understanding of generative AI, enterprise AI platforms, agentic workflows, and emerging AI-enabled ways of working.
• Experience leading adoption, change, or capability-building efforts across complex organizations.
• Strong executive communication and stakeholder-management skills across business and technical audiences.
• 5+ years of people leadership experience preferred.

Nice To Haves

• Experience in asset management, financial services, or another regulated industry.
• Experience building enterprise communities of practice, distributed innovation models, or reusable-product ecosystems.
• Familiarity with AI governance, responsible AI practices, and enterprise technology architecture.
• Demonstrated track record translating emerging technology into measurable business outcomes.

Responsibilities

• Translate the GD AI strategy into an integrated roadmap for scaled enablement, distributed innovation, portfolio management, and adoption.
• Establish the operating model, standards, processes, and decision rights required to support AI activity across Global Distribution.
• Ensure the function evolves as AI capabilities, enterprise platforms, Associate needs, and regulatory and risk requirements change.
• Create clear connections across the GD AI portfolio so that lessons from Associate experimentation, targeted workflow interventions, and transformational products inform one another.
• Oversee an always-on intake and prioritization capability that enables Associates and leaders to easily surface high-value AI opportunities.
• Maintain transparent portfolio governance and decision processes that concentrate scarce resources on opportunities with the strongest combination of value, readiness, feasibility, and strategic importance.
• Establish consistent expectations for business cases, success measures, baselines, adoption metrics, and realized-value tracking across AI initiatives.
• Support senior governance forums with clear portfolio reporting, decisions, risks, dependencies, and evidence of measurable business impact.
• Own the strategy for enabling Associates to create, discover, improve, share, and adopt reusable AI solutions using approved enterprise capabilities.
• Establish a scalable lifecycle for Associate-built AI solutions, including discovery, validation, improvement, certification, publishing, measurement, maintenance, retirement, and graduation to more formal delivery models where appropriate.
• Identify recurring capability gaps and partner with Technology, Data, enterprise AI teams, and platform providers to expand the tools, integrations, data access, and functionality available to GD.
• Promote responsible experimentation while establishing appropriate standards and controls for reusable AI solutions.
• Lead the scaled AI learning and capability-building strategy for Global Distribution, including role-based learning, manager enablement, advanced learning opportunities, and ongoing reinforcement.
• Evolve the AI Champions Network and broader communities into effective mechanisms for learning, innovation, feedback, and adoption.
• Ensure major platform and capability changes are supported by thoughtful change management, communications, learning, and adoption programs.
• Establish measures of AI adoption, proficiency, community health, and increasingly sophisticated use of AI across GD.
• Serve as a senior business partner to Technology, Data, Risk, HR, enterprise AI teams, and platform providers on capabilities required to advance the GD AI strategy.
• Lead, coach, and develop a high-performing team with clear accountability across portfolio management, distributed innovation, and organizational capability building.
• Communicate progress, emerging opportunities, risks, and business impact to senior leaders with clarity and credibility.
• Stay current on emerging AI capabilities and translate relevant developments into practical opportunities for Global Distribution.
• Mindset Builder who creates scalable systems rather than relying on heroic individual effort.
• Highly curious about emerging AI capabilities and focused on converting them into business value.
• Comfortable moving quickly through ambiguity while establishing appropriate structure and controls.
• Strong bias toward measurable outcomes, learning, reuse, and continuous improvement.

Benefits

• Competitive compensation
• Annual bonus eligibility
• A generous retirement plan
• Hybrid work schedule
• Health and wellness benefits, including online therapy
• Paid time off for vacation, illness, medical appointments, and volunteering days
• Family care resources, including fertility and adoption benefits