Senior AI Enablement Specialist

Rennie Marketing Systems•Vancouver, BC

1d•CA$112,000 - CA$125,000•Hybrid

About The Position

rennie is hiring a Senior AI Enablement Specialist to help teams improve how work gets done - using AI, automation, business systems, and process redesign to deliver meaningful business outcomes. Working directly with leaders and teams, you will challenge assumptions about how well current workflows are performing, uncover the real source of friction or missed opportunity, and translate ambiguous problems into clear, practical recommendations. You will help determine what teams can test or implement themselves, what requires external expertise, and what needs deeper involvement from you or our Tech team. You will also be hands-on: personally building and implementing select lightweight solutions to make opportunities tangible, leading approved initiatives through implementation and adoption, and evolving rennie’s organization-wide AI enablement program. This is not a traditional Business Analyst role or a pure AI development role. It will appeal to someone who enjoys moving between business problem-solving, hands-on experimentation, and working alongside people through change.

Requirements

Hands-on experience applying generative AI, structured prompting, AI agents, automation and/or low-code/no-code tools to personally build and implement solutions that delivered demonstrable business value
A strong record of working with leaders and teams to uncover the real problem behind a business request and identify meaningful opportunities for improvement
Experience analyzing how work is performed, including processes, systems, data, ownership, handoffs, capacity, cycle time, tool usage, quality and stakeholder experience
Working knowledge of data, privacy, security, system integration and AI reliability, with the judgment to recognize limitations and involve technical specialists when needed
Experience translating ambiguous problems into practical recommendations, future-state workflows, implementation approaches, success measures and adoption plans
Experience leading cross-functional operational improvements or technology-enabled initiatives through implementation and adoption, while navigating different priorities, dependencies and change impacts
Experience contributing to organization-wide AI enablement, digital adoption, or change initiatives
The ability to communicate complex ideas clearly, influence without formal authority and help people adopt and sustain new tools and ways of working

Nice To Haves

You stay focused on the business outcome, not the novelty of the technology
You work alongside people to understand their work, test ideas, and build practical solutions with them
You stay hands-on with AI, continually experimenting and learning so you can bring informed thinking to potential solutions
You build trust quickly, ask direct questions, and challenge assumptions regardless of who holds them
You create clarity from ambiguity and move work forward without waiting for perfect information
You balance high standards with practicality, developing solutions people can realistically adopt and sustain
You take ownership through to the outcome, staying close enough to see what is working and change what is not

Responsibilities

Work with leaders and teams through structured reviews to understand how work really gets done - and where it could be simpler, smarter or more effective
Challenge assumptions about current-state effectiveness and get beneath the initial request to define the real business problem
Bring an AI-first mindset without assuming AI is the answer - considering automation, existing systems, process redesign, and other alternatives
Translate ambiguous business problems into clear recommendations, including solution options, future-state workflows, implementation approaches, success measures and adoption plans
Maintain a clear portfolio of AI and workflow-improvement opportunities and bring forward recommendations on priorities, sequencing, investment and resourcing
Determine what can be tested or implemented within the team, what requires vendor expertise, and what needs Tech team involvement because of complexity, integration, security, data or scalability
Personally build and test selected lightweight AI-enabled solutions, automations, agents and prototypes to validate opportunities and demonstrate potential value
Lead approved AI and operational improvement initiatives from planning through implementation and adoption, working with business owners, technical specialists and external partners as needed
Plan and evolve rennie’s company-wide AI learning and adoption program, helping people build the confidence and skill to use AI and other technology solutions well
Create practical frameworks, standards and ways of working that improve solution decisions and help us repeat what works
Define and track success measures, using evidence to determine whether changes are delivering real value and adjusting when they are not.