VP, AI Transformation

Cynosure, LLC•Westford, MA

19h

About The Position

The VP, AI Transformation leads the enterprise-wide artificial intelligence strategy and execution for Cynosure Lutronic, defining and driving how AI is adopted across the company to accelerate innovation, improve operating efficiency, and create durable competitive advantage. Reporting to the CEO, this role owns the full AI transformation agenda—from vision and roadmap through use-case identification, solution delivery, governance, and organizational change—partnering across every function to embed AI into how the company designs products, serves customers, and runs its operations. As a senior leader and trusted advisor to the executive team, this leader balances bold strategic vision with disciplined, hands-on execution—equally comfortable shaping a multi-year AI agenda and standing up the platforms, governance, and capabilities that turn it into measurable business outcomes. Working closely with R&D, Commercial, Operations, IT, Regulatory, Legal, and HR, the VP, AI Transformation ensures AI investments are prioritized against the highest-value opportunities, deployed responsibly and securely, and scaled across a global, regulated medical aesthetics business. This role is critical to positioning Cynosure Lutronic as an AI-enabled leader—ensuring emerging technologies translate into faster innovation, stronger customer experiences, and sustainable growth.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Business, or a related field required.
12+ years of progressive experience in technology, data, analytics, or digital transformation, including significant leadership experience driving AI/ML or large-scale digital initiatives.
Proven track record defining and executing enterprise AI or digital transformation strategies that delivered measurable business impact.
Demonstrated experience leading the deployment of AI/ML solutions from concept through scaled production in a complex, cross-functional environment.
Experience establishing AI governance, data, and risk frameworks, ideally within a regulated industry such as medical devices, healthcare, or life sciences.
Experience building and leading high-performing technical teams and managing relationships with technology vendors and strategic partners.
Deep understanding of AI/ML technologies, data infrastructure, and the practical realities of deploying and scaling AI in an enterprise setting.
Strategic thinker and hands-on operator—able to set a multi-year vision and drive tangible, measurable results.
Excellent communication and influencing skills; able to translate complex technical concepts for executive and non-technical audiences and align stakeholders at all levels.
Strong business acumen, including the ability to build business cases, quantify value, and prioritize investments.
Proven cross-functional leadership and change-management capability, driving alignment and adoption without direct authority over every function.
Sound judgment on AI ethics, governance, data privacy, and security, particularly within a regulated environment.

Nice To Haves

Master’s degree, MBA, or advanced degree in a related technical or business discipline preferred.
Experience operating in a global organization and driving change across functions and geographies preferred.
Familiarity with the medical aesthetics, medical device, or healthcare industry preferred.

Responsibilities

Define and own the enterprise AI transformation vision, strategy, and multi-year roadmap, aligned with the company’s growth objectives and overall business priorities.
Identify, evaluate, and prioritize high-value AI use cases across R&D, commercial, operations, and corporate functions, building business cases that quantify impact, investment, and risk.
Serve as the executive thought leader on AI, educating the Board, executive team, and broader organization on emerging capabilities, opportunities, and implications for the business.
Establish the company’s AI governance, ethics, data, and risk framework, ensuring responsible, compliant, and secure use of AI within a regulated medical device environment.
Shape build-versus-buy-versus-partner decisions and manage relationships with technology vendors, platform providers, and strategic partners.
Define the metrics and value-realization framework used to measure adoption, ROI, and business impact of AI initiatives across the enterprise.
Lead the end-to-end delivery of priority AI initiatives, from proof of concept through scaled production deployment, ensuring solutions are reliable, secure, and integrated into business workflows.
Stand up the foundational data, platform, and tooling infrastructure required to develop, deploy, and maintain AI solutions at scale.
Partner with IT, Digital, and Information Security to ensure AI systems meet data privacy, cybersecurity, and regulatory requirements.
Translate complex AI concepts into clear, actionable plans and communicate progress, value, and risks to stakeholders at all levels.
Establish standards, playbooks, and reusable assets that accelerate delivery and ensure consistency and quality across AI initiatives.
Continuously monitor the performance of deployed solutions, optimize models and processes, and refine or retire initiatives based on measured outcomes.
Build, lead, and develop a high-performing, cross-disciplinary AI team, attracting and retaining top talent in data science, machine learning, and AI engineering.
Drive enterprise-wide AI literacy and adoption through change management, training, and enablement programs that build capability and confidence across the workforce.
Partner with and influence senior leaders across all functions to align on priorities, secure resources, and embed AI into functional strategies and ways of working.
Foster a culture of experimentation, responsible innovation, and data-driven decision-making throughout the organization.
Serve as the bridge between technical teams and business stakeholders, ensuring AI solutions are grounded in real business needs and adopted in the field.