Principal AI Strategist - Contract - Chanhassen, MN
C2H-No Visa support
Position: Principal AI Strategist
Location: Remote (potential come into office once a month)-Open to candidates outside MN, if they are willing or interested in relocating huge plus!
Work Auth: Not open to sponsorship
Duration: C2H (Long term position)
Position Summary:
• Role: AI Strategist
• Scope: Work across all teams, influencing key decisions and strategies, both digital and in-club.
• Responsibilities:
○ Identify and capitalize on AI and data science opportunities.
○ Shape the company’s AI strategy.
○ Enhance member and team member experiences using AI.
○ Look for someone in AI Sr Product Manager/ with knowledge of AI Engineer roles
Key Responsibilities:
1. Evolution of Experiences:
○ Creating roadmaps, strategy, leading force in AI for the client
○ Guide the creation of new solutions.
○ Build out shared AI capabilities.
○ Establish a cohesive plan and reference patterns.
○ Focus on long-term operation and evolution beyond delivery.
2. Solution Design:
○ Demand a holistic approach.
○ Define and improve monitoring and measurement of experiences.
3. Business Context and Challenges:
○ Comprehend and analyze business context.
○ Devise machine learning or data science solutions using value engineering methodologies.
○ Ensure solutions are embraced by business teams and value is realized.
4. Advisory Role:
○ Serve as a trusted advisor to business teams.
○ Individual contributor – Reports directly to Senior VP
○ Be able to speak to communications, ops, Senior leadership, executives including CEO, how we can utilize AI and being that point person leading the charge
○ Don’t need to be super technical need to be able to talk the talk. Break down technical in layman’s
Minimum Required Qualifications:
• Education: Bachelor’s degree in a related field or equivalent experience. (Would like to see candidates from reputable schools)
• Experience:
○ 10+ years as a product owner for consumer-facing applications in a hospitality environment.
○ Experience building experiences leveraging ML models and LLMs.
○ Familiarity with modern agile software engineering methodologies.
○ Ability to communicate concepts, findings, and recommendations to senior leadership.
○ Having an entrepreneurial mindset (maybe background in startups)
○ Being comfortable wearing several different hats and being able to adapt doing things outside your specific role
○ They must have that passion for what they are doing and really enjoy the work that they will create and pave the way for the future of the client.
Technology Stack:
○ Platforms: Azure Microsoft shop, Snowflake.
Hiring Needs:
○ They will need to win over the current Engineering Manager Drew.
○ Qualities: Entrepreneurial background, knowledgeable, good communicator, able to simplify complex terms.
Summary:
The AI Strategist role at the client is pivotal for driving AI and data science initiatives across the company. The ideal candidate should have extensive experience in product ownership, particularly in consumer-facing applications within a hospitality environment. They should be adept at leveraging ML models and LLMs, and possess strong communication skills to influence senior leadership. The role demands a holistic approach to solution design, focusing on long-term operation and evolution. Additionally, the candidate should be open to working in a highly collaborative and fast-paced environment, with a passion for health and fitness.
Job Duties/Responsibilities
- Own the evolution of existing experiences, guide the creation of new solutions, and build out our shared AI capabilities.
- Establish a cohesive plan and reference patterns
- Demand a holistic approach to solution design, focusing beyond delivery to think about the experience and long-term operation and evolution.
- Define and continually improve how we monitor and measure the effectiveness of our experiences.
Minimum Required Qualifications
Education:
- Bachelor's degree in a related field or an equivalent combination of education and experience
Experience:
- 10+ years as a product owner for consumer-facing applications in a hospitality environment.
- Experience building experiences that leverage both ML models and LLMs
- Experience interacting with modern agile software engineering methodologies and approaches
- Ability to effectively communicate concepts, findings & recommendations to senior leadership
