Head of AI Enablement & Transformation

Head of AI Enablement & Transformation Voice Systems Engineering (VSE) is a dynamic organization driven by innovation and a shared passion for positively impacting people's lives. We operate multiple brands and businesses, including Psychic Source, Plasma Futures and Soundbed, all focused on mind and body wellbeing, with our flagship brand, Psychic Source, leading the way.

Rooted in a remote-first environment, we've cultivated a culture that embraces diversity, equity, work-life balance, and a true sense of belonging.

We are an established, profitable company, and this year we made a deliberate decision to rebuild the way we work around AI rather than simply adding it to what we already do. Many AI projects are already underway across the business, and the whole company comes together every week to focus on AI adoption. We are seeking a passionate, hands‑on and experienced Head of AI Enablement & Transformation to turn that commitment into everyday practice across the company.

You should be comfortable prototyping and shipping generative AI agents, automations and the tooling that lets non‑engineers use them safely, and equally comfortable teaching a team of roughly forty‑five people, most of them non‑technical, to apply these tools in their own jobs. the impact of this role comes from forty‑five people who can do things they could not do before, working through AI champions across the business, the tools you build and the sessions you run.

Your first priority will be consolidation rather than expansion: bringing the work already underway into one coherent, well‑governed program, deciding what to standardize on and what to retire, and putting the right guardrails in place before adding anything new. If you're our new Head of AI Enablement & Transformation, you will look forward to engaging in activities such as:

• Building and shipping AI capabilities: prototypes, agents, evaluation frameworks, and the pipeline that allows a non-engineer to deploy something safely. Leading hands‑on enablement across the company: a weekly working session you run, role‑specific playbooks, office hours, and a network of AI champions in every function, with adoption measured in actual use rather than attendance.
• Redesigning core workflows around what AI makes possible, in partnership with the teams that do the work, rather than automating the steps that already exist.
• Owning the AI scorecard: publishing weekly results including the metrics that missed, setting targets, and being transparent when a target changes and why.
• Deciding the tooling stack: evaluating models, platforms, agent frameworks and vendors;
  Building the guardrails first: a graduated autonomy model that agents earn on evidence, traceability from every output back to its prompt and approver, a permissions and data‑classification model that holds, and acceptable‑use policy developed with Legal, HR and IT as partners from week one.
• Managing the use‑case pipeline from intake through prioritization, pilot, rollout and maintenance, and retiring at least one initiative each quarter, openly and with the reasoning, including your own.
• Protecting the quality of what we ship: validating outputs against sources, retesting after model and tool updates, and defining where human oversight is required.
• Looking after the team: one scorecard metric asks the team whether AI is making them more capable or just more pressured. Two consecutive weeks of decline pauses the rollout of new AI initiatives, and you are the one expected to call it.

A track record of personally building and shipping agentic AI systems, automations or LLM-powered tools that people actually use, within the last twelve months.

• At least 7 years in technology, operations, product, consulting or…