Director, AI Business Enablement Strategist

Wellington Management•Boston, MA

3d•$120,000 - $225,000•Hybrid

About The Position

The Director, AI Business Enablement Strategist will lead AI adoption and value realization across Wellington Management’s Infrastructure Platform. Reporting to the Chief Operating Officer, the role connects Infrastructure leadership, Chief Product Owners, and the enterprise AI organization to develop a shared AI strategy and translate it into practical, scalable, measurable business outcomes. In partnership with Chief Product Owners, the Director will help identify and prioritize opportunities, redesign end-to-end workflows, sequence initiatives, mobilize delivery, and embed AI in the platform’s operating model and culture. The position combines strategic planning, operational execution, change leadership, product orientation, and AI fluency. The Director will drive adoption of enterprise AI capabilities, coordinate with enterprise AI on strategy, standards, governance, and tooling, and manage a portfolio of AI initiatives and their outcomes. The role also supports workforce readiness through literacy, training, upskilling, role evolution, and change management. Success includes measurable improvements in productivity, efficiency, service, and risk management, along with a coordinated AI roadmap and stronger AI-enabled ways of working across Infrastructure.

Requirements

Significant experience leading large-scale business transformation, digital transformation, strategy, operating model, or business enablement initiatives with AI-native workloads.
Strong understanding of generative AI, automation, and emerging agentic technologies, with the ability to translate technical capabilities into business outcomes.
Demonstrated success driving organizational adoption of new technologies and ways of working at scale.
Exceptional stakeholder management and influencing skills, including experience partnering with senior executives, Product Owners, technology leaders, and cross-functional delivery teams.
Proven ability to clarify roles and decision rights, build shared ownership, and drive outcomes collaboratively rather than through direct authority.
Strong analytical, communication, program leadership, and problem-solving capabilities.
Ability to balance strategic perspective with pragmatic, hands-on execution.
Experience working within a product operating model and partnering closely with Product Owners and centralized technology, data, digital, or AI organizations, including AI Centers of Excellence.
Familiarity with AI governance, responsible AI practices, model lifecycle management, and enterprise AI operating models.
Background in management consulting, strategy, transformation, operations, or business management.
Experience designing or leading enterprise-wide change management and adoption programs.

Responsibilities

Develop a shared Infrastructure AI strategy and coordinated roadmap with the COO, Infrastructure Platform leaders, and Chief Product Owners, aligned with enterprise AI strategy, standards, and capabilities.
Identify, evaluate, and prioritize end-to-end workflows and AI opportunities with Chief Product Owners and functional leaders.
Translate priorities into business outcomes, product roadmaps, investment cases, sequencing decisions, and clear ownership across business, product, technology, and enterprise AI teams.
Advise senior leaders and Chief Product Owners on how AI can improve workflows, decision-making, service delivery, risk management, and operating efficiency.
Create transparency across AI initiatives and product roadmaps, highlighting dependencies, resource constraints, and opportunities to standardize or scale while avoiding duplicated work.
Shift priority initiatives from being largely AI-on to AI-native solutions.
Drive adoption of enterprise AI capabilities across Infrastructure functions and identify where additional support is needed.
Partner with Chief Product Owners, functional leaders, and delivery teams to redesign workflows and integrate AI into core processes, controls, products, and team routines.
Identify adoption barriers and develop solutions that support lasting behavior change.
Establish and share best practices, implementation frameworks, and success stories to help scale successful pilots.
Help leaders distinguish value-driven AI adoption from low-impact experimentation.
Serve as Infrastructure’s primary liaison to the enterprise AI organization and the Head of Enterprise AI.
Align Infrastructure AI priorities with enterprise capabilities, standards, tooling, governance, and risk and controls frameworks.
Coordinate implementation of enterprise AI programs, models, and platforms within Infrastructure, securing sponsorship and execution readiness.
Ensure responsible AI principles, governance requirements, and model lifecycle standards are understood and consistently applied across Infrastructure.
Connect Infrastructure teams with enterprise AI resources, expertise, training, and infrastructure.
Develop, maintain, and help prioritize a comprehensive portfolio view of AI initiatives across the Infrastructure Platform.
Partner with leaders to define business cases, success measures, and KPIs for AI investments.
Track adoption, productivity gains, cost efficiency, service quality, and risk-reduction outcomes, and ensure efficiency gains are attributed and deliberately redeployed to higher-value work.
Report progress, outcomes, risks, and emerging opportunities to the COO and Infrastructure leadership team.
Promote disciplined evaluation of AI opportunities to align investment with strategic priorities and demonstrable impact.
Understand the inventory of self-developed utilities (SDUs) across the platform and align guardrails, efforts, and best practices with the broader AI strategy and roadmap.
Partner with Human Resources and Infrastructure leaders to prepare the workforce for AI-enabled ways of working.
Support AI literacy, training, capability development and upskilling, role evolution, and workforce planning.
Identify opportunities to redesign work, simplify processes, and shift capacity from lower-value activity to higher-value work.
Lead change management efforts that enable adoption at scale while maintaining engagement and accountability.
Foster continuous learning, responsible experimentation, and innovation.
Participate in and facilitate leadership forums, working groups, and decision-making routines that advance the platform’s AI agenda.
Build trusted partnerships with Chief Product Owners and relationships across Infrastructure, Technology, enterprise AI, and other stakeholders.
Influence outcomes across a complex, matrixed organization without direct authority.
Communicate complex concepts clearly and practically to technical and non-technical senior audiences.
Advise the COO, Chief Product Owners, and Infrastructure leadership team on AI-enabled transformation.

Benefits

Retirement plan
Health and wellbeing coverage
Dental, vision, and pharmacy coverage
Health savings account
Flexible spending accounts
Commuter program
Employee assistance program
Life and disability insurance
Adoption assistance
Back-up childcare
Tuition/CFA reimbursement
Paid time off, including leave of absence, paid holidays, volunteer, sick, and vacation time
Eligible employees may receive a discretionary Corporate Bonus and/or incentives
Flexible work environment, with employees working from offices four days a week and remotely one day a week