Head of Artificial Intelligence Orchestration

SEI1GLOBAL•Upper Providence Township, PA

About The Position

At SEI we value our employees and believe in driving growth through change. Part of building brave futures is making a concerted effort to develop and challenge our employees to achieve their goals through internal job mobility. SEI is hiring a Head of AI Orchestration, responsible for orchestrating how artificial intelligence reshapes SEI’s business, operating and talent models. This role focuses on moving AI from experimentation to scaled, ethical, and measurable enterprise impact by driving enterprise learning, adoption, workflow reinvention, governance‑by‑design, and value realization across all business units. Operating horizontally across the firm, this leader ensures AI becomes a durable source of competitive advantage by embedding it into how SEI learns, works, decides, and grows — not just how technology is built. This role reports into the Chief Operating Officer, with a dotted line into the Head of SEI Next. The role operates as a peer to the Chief Technology Officer (CTO) and works horizontally across Product, Technology, Operations, Risk, Compliance, all Business Units and SEI Next. This role is not embedded within a specific function because of the broad and transformative nature of the work. The role requires highly collaborative and strategic leadership, and will foster deep curiosity, challenge existing ways of operating, establish new standards, and ensure the approach to AI at SEI moves from experimentation to measurable business impact. Success will be measured using outcome‑based metrics aligned with leading industry practice, including: Revenue per employee and productivity per role Active usage of AI by employees in core workflows AI Champion program participation, training completion, and peer‑led impact Number of end‑to‑end processes reimagined or eliminated Cycle‑time reduction from idea → production → scale Governance coverage, audit readiness, and AI‑related incident rates

Requirements

Demonstrated experience leading enterprise‑level change or transformation, where success depended on shifting behaviors, mindsets, and ways of working — not just deploying new technology.
Strong track record of working horizontally across business units and functions, building trust, aligning priorities, and mobilizing diverse stakeholders toward shared outcomes.
High degree of intellectual curiosity and comfort operating in ambiguity, with a bias toward experimentation, learning, and iteration.
Deep fluency in AI concepts and applications (including generative AI, agents, and responsible AI), paired with the judgment to recognize both the power and the limits of the technology.
Proven ability to translate emerging technologies into practical changes in how work gets done, how decisions are made, and how value is created.
AI‑native & digital‑native behaviors
Personally uses AI tools and systems as part of daily work and decision‑making, modeling the behaviors expected across the organization.
Treats AI as a collaborative teammate and amplifier, not a replacement or isolated capability.
Approaches learning as a continuous process and actively experiments with new tools, workflows, and ways of working.
Leadership style
Highly collaborative, inclusive, and relationship‑driven, with the confidence to challenge established norms and legacy assumptions.
Comfortable influencing without direct authority and enabling others to lead AI‑driven change within their domains.
Able to balance speed and experimentation with responsibility, ethics, and trust.
Experience & background
Experience in roles spanning strategy, operations, product, innovation, transformation, or platform leadership.

Nice To Haves

Prior experience in regulated environments and/or complex enterprises is valuable but not required.
A technical or quantitative background is helpful but not essential; success in this role depends more on systems thinking, learning orientation, and change leadership than on hands‑on model development.