SVP, AI Transformation

BGBx · United States · Other

Posted 2026-08-06

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SVP, AI Transformation

Position Overview

BGBx is putting AI at the center of how the firm works - how we advise, how we create, how we deliver. This is the role that makes that real. We're looking for a leader who takes the AI agenda from ambition to landed outcome - owning the hardest initiatives end to end and getting them across the line, not steering from the sidelines.

Reporting to and partnering closely with the EVP, AI Transformation, you lead the execution engine behind BGBx's AI-first operating model - turning strategy into reality by owning the delivery of the AI initiatives BGBx takes on, and closing the loop by feeding field-level insight back into how the strategy and the broader transformation approach take shape.

This is a role for someone equally comfortable in three modes: contributing sharp thinking to the strategy, leading complex programs to completion, and reading the signal from how the work actually lands in order to sharpen what comes next. It is a rare seat for someone who wants the reach of shaping enterprise strategy and the satisfaction of personally leading the programs that bring it to life.

Key Responsibilities

Own delivery of the AI programs and initiatives BGBx takes on, from mandate to deployment - including planning, sequencing, execution, and outcomes across the enterprise

Drive delivery individually and through others, coordinating internal teams, external partners, and vendors so initiatives ship on time, at quality, and with the adoption needed to stick.

Contribute rigorous thinking to the AI transformation strategy and shape the options and recommendations that set its direction.

Serve as the leadership team's read on what is actually happening in the field - surfacing what is working, what is not, and what is emerging, and translating that signal into how BGBx refines its strategy and approach.

Own the delivery relationship with AI platform and implementation partners, holding them to committed deliverables and ensuring their work aligns to BGBx's strategy and standards.

Build and lead the team and operating rhythms needed to deliver AI initiatives repeatedly and reliably as the transformation scales.

Preferred Qualifications

12+ years of professional experience, including at least 5 years leading complex programs, delivery, or transformation initiatives end to end.

3+ years managing and developing teams or leading cross-functional delivery groups.

Bachelor's degree required; advanced degree (MBA, or a Master's in a business, technical, or scientific discipline) preferred.

Demonstrated experience leading or delivering AI, data, or technology-enabled initiatives in a complex organization.

Experience managing external vendors or delivery partners against defined deliverables, timelines, and budgets.

Experience in pharmaceutical, life sciences, medical communications, advertising, or another regulated industry strongly preferred.

A builder-operator who leads through programs and people, energized by owning execution and leading transformation from the front.

Strong working fluency in AI and LLM ecosystems, agentic systems, and workflow automation - enough to lead delivery credibly and challenge technical partners.

Program, project, and change-management expertise, including driving adoption of new ways of working.

Sharp judgment for signal versus noise, and the discipline to translate ground-level observation into actionable insight.

Executive-level communication skills and a bias toward ownership, follow-through, and getting things landed.

Salary Range: $210,000 - $250,000

BGBx is headquartered in New York City, and the salary range listed reflects the expected base compensation for this role in the New York City metropolitan area. This position may be performed remotely within the United States. For candidates located outside the New York City area, compensation will be adjusted to reflect the applicable market for the employee's primary work location. Final compensation will be determined based on geographic location, experience, qualifications, and other job-related factors.

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