Director, AI Business Enablement Strategist

Wellington Management•Boston, MA

3d•$120,000 - $225,000•Hybrid

About The Position

Wellington Management is seeking a Director, AI Business Enablement Strategist to lead AI adoption and value realization across its Infrastructure Platform. 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. Reporting to the Chief Operating Officer, the Director works in partnership with Chief Product Owners and other leaders to identify and prioritize high-value opportunities, redesign end-to-end workflows, sequence the portfolio, mobilize delivery, and embed AI in the platform’s operating model and culture. The role combines strategic thinking, operational execution, change leadership, product orientation, and AI fluency. The Director is expected to take initiatives from concept through measurable impact, build shared ownership across senior leaders and Product Owners, and influence outcomes across a complex, highly matrixed organization without direct authority. Wellington Management describes itself as a private partnership offering investment management capabilities across global capital markets, serving institutional clients in more than 60 countries. The firm says its ownership structure supports a long-term perspective aligned with clients. The position is based on an in-office schedule of four days per week, with flexibility to work remotely one day per week. The base salary range is USD 120,000–225,000. Employees are eligible for salary, variable compensation, and benefits; other rewards may include a discretionary Corporate Bonus and/or incentives, if eligible.

Requirements

Significant experience leading large-scale business transformation, digital transformation, strategy, operating model, or business enablement initiatives involving 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.
Ability to clarify roles and decision rights, build shared ownership, and drive outcomes through collaboration rather than 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 AI strategy and coordinated Infrastructure Platform roadmap with the COO, 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 that advance strategic objectives, improve operational effectiveness, and produce measurable business outcomes.
Translate shared 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 where and how AI can improve workflows, decision-making, service delivery, risk management, and operating efficiency.
Create transparency across AI initiatives and product roadmaps, surfacing dependencies, resource constraints, and opportunities to standardize or scale while avoiding fragmented or duplicative effort.
Shift priority initiatives from being largely AI-enabled to AI-native solutions.
Drive consistent 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 barriers to adoption and develop practical approaches that support sustainable behavior change.
Establish and share best practices, implementation frameworks, and success stories to help scale successful pilots across the platform.
Help leaders distinguish meaningful, 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 driving execution readiness.
Ensure responsible AI principles, governance requirements, and model lifecycle standards are understood and consistently applied across Infrastructure functions.
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 key performance indicators for AI investments.
Track adoption, productivity gains, cost efficiency, service quality, and risk reduction; 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 so investments align with strategic priorities and deliver demonstrable impact.
Understand the platform’s inventory of self-developed utilities (SDUs) 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 across the platform.
Identify opportunities to redesign work, simplify processes, and shift capacity from lower-value activities 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 a trusted operating partnership with Chief Product Owners and strong relationships across Infrastructure functions, Technology, enterprise AI, and other stakeholders.
Influence outcomes across a complex, highly matrixed organization without direct authority.
Communicate complex concepts clearly and practically to technical and non-technical senior audiences.
Serve as a trusted advisor to the COO, Chief Product Owners, and Infrastructure leadership team on AI-enabled transformation.

Benefits

Retirement plan
Health and wellbeing benefits
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
Variable compensation
Discretionary Corporate Bonus and/or incentives, if eligible