Director, Transformation & AI Enablement

U.S. Financial Technology•Remote,

6d•$181,250 - $208,500•Remote

About The Position

U.S. Financial Technology (U.S. FinTech) is seeking a Director, Transformation & AI Enablement to lead enterprise transformation efforts and enable responsible AI adoption and business value realization in partnership with Technology and business leaders. The role translates enterprise priorities into coordinated action, strengthens execution discipline, and mobilizes cross-functional teams to deliver measurable outcomes while simplifying how work gets done. U.S. FinTech operates a cloud-based mortgage securitization platform supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac. The platform supports 70% of the mortgage-backed securities market and provides single-family issuance, bond administration, disclosure, tax services, and full lifecycle management. This is a full-time remote opportunity. The salary range is $181,250 to $208,500. Compensation may vary based on qualifications, skills, competencies, experience, internal equity, market data, applicable agreements, and other factors. The total compensation package includes a performance bonus, 401(k) match, healthcare coverage, PTO, and other benefits. Applicants must be authorized to work in the United States without current or future employer sponsorship; H-1B sponsorship is not offered. Successful applicants must complete a background investigation, which may include a credit check for some positions.

Requirements

Bachelor’s degree in Business Administration, Finance, Strategy, Technology, or a related discipline, or equivalent experience.
At least 10 years of experience in enterprise transformation, strategy execution, portfolio/program leadership, management consulting, or related roles.
High emotional intelligence and demonstrated ability to identify organizational barriers, build alignment, and mobilize stakeholders toward outcomes.
Excellent executive communication skills, including the ability to synthesize complex topics and communicate clearly in writing and verbally to varied audiences.
Strong relationship-management skills and ability to build trusted partnerships and influence across functions and levels without direct authority.
Proven change leadership and cross-functional collaboration in a fast-paced, highly matrixed environment.
Strong business orientation and experience translating enterprise needs and opportunities into actionable initiatives and measurable outcomes.
Ability to work independently amid ambiguity, exercise sound judgment, and proactively engage appropriate stakeholders.
Ability to identify, communicate, and resolve risks, dependencies, and execution issues through effective escalation and partnership.
Demonstrated ability to coach, collaborate with, and influence peers, team members, senior leaders, and functional partners.
Working knowledge of transformation, portfolio management, change management, and agile or iterative delivery approaches.
Business fluency in AI and emerging technologies, including opportunities, adoption considerations, and governance required for responsible enterprise use.
Authorization to work in the United States without requiring employer sponsorship currently or in the future.

Responsibilities

Lead enterprise transformation efforts that translate strategic priorities into coordinated execution and measurable business outcomes.
Partner with business and Technology leaders to identify transformation and AI-enabled opportunities and define outcomes, roadmaps, and measures of success.
Strengthen enterprise portfolio and execution discipline by connecting priorities, investments, capacity, milestones, risks, dependencies, and outcomes.
Drive complex cross-functional initiatives by establishing accountability, decision points, escalation paths, and follow-through.
Lead cross-functional teams through change and build alignment and adoption across organizational boundaries.
Build trusted relationships with senior leaders and functional partners and connect Business, Technology, Operations, Risk, Finance, and other stakeholders.
Enable enterprise AI adoption with Technology by translating business opportunities into prioritized use cases, adoption plans, operating needs, and value measures.
Develop business cases, executive recommendations, and decision materials that articulate value, tradeoffs, risks, investment needs, and expected outcomes.
Establish appropriate governance and operating cadences that improve transparency, decision-making, and delivery without unnecessary bureaucracy.
Identify and advance practical process improvements, automation, and AI-enabled opportunities to improve efficiency, effectiveness, and employee experience.
Partner with Technology, Data, Risk, Change/Communications, and business teams to support safe, sound, and scalable implementation and adoption.