AI Enablement Lead

🔥 0 minutes ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of IMA Financial Group, Inc.

IMA Financial Group, Inc.

1001 - 5000 employees

Founded 1980

💸 Finance

🏢 Enterprise

💰 Private Equity Round on 2020-11

Finance • Insurance • Enterprise

IMA Financial Group, Inc. is a diversified financial and insurance services company providing specialized insurance solutions across various industries, including agribusiness, construction, digital risk, education, energy, healthcare, hospitality, life sciences, manufacturing, marine, private equity, real estate, and technology. The company offers a wide range of insurance services such as business insurance, employee benefits, personal insurance, retirement solutions, wholesale insurance, wealth management, and more. IMA is committed to protecting assets and foreseeing challenges, ensuring that clients are prepared for the future. They emphasize community impact, philanthropy, and customer-driven solutions, supporting both innovation and community betterment.

📋 Description

• Ensure AI tools are consistently used and integrated into daily work, not just explored; Identify and remove barriers to adoption • Deliver enablement at scale, including role-based learning journeys, toolkits, office hours/coaching, and a champion network in partnership with training and operations • Help establish AI COE framework to promote responsible AI use, best practices, training and enablement programs, success metrics, and communication • Partner with training and operations teams to develop role-based enablement across the enterprise (sales, service, ops, leadership) • Equip teams to effectively use AI platforms, Copilot tools, AI agents, and prompt & agent libraries • Provide ongoing support through office hours, coaching, and trainings materials • Reinforce expectations for when and how AI should be used; Ensure responsible AI usage by incorporating governance and guardrails into training, communications, and playbooks • Partner with business and operations teams to roll out AI capabilities and integrate them into daily work. Develop change management strategies and educate teams on AI benefits. • Identify where AI can meaningfully improve workflows, quality, and speed; Help define roles of AI (automate, augment, or escalate) vs human • Ensure AI usage is clear, repeatable, and consistent to shift from manual to AI-assisted workflows • Understand pain points and translate needs into clear, actionable AI use cases; Identify where AI can deliver meaningful workflow improvements and practical impact • Bring structured recommendations to inform prioritization and sequencing of AI efforts • Act as a bridge between business users and AI/product teams to ensure solutions reflect real needs, are adopted, and deliver value; Provide insight into what will drive adoption and proactively identify where solutions are likely to stall • Support business teams in owning outcomes and driving adoption; Ensure success metrics are defined and use data to continuously refine prioritization and enablement strategies • Gather feedback from users on what’s working, where friction exists, and where trust is low • Partner with engineering to improve usability and effectiveness of AI solutions • Continuously refine enablement materials, guidance, and approach • Enable acceptable AI usage, citizen development, and sharing & reuse of AI tools • Track and report AI impact • Share success stories, use cases, best practices, and lessons learned to accelerate adoption across teams.

🎯 Requirements

• 5-10+ years in technology enablement, product, operations, consulting, or transformation roles. • Experience driving adoption of new tools or technologies at scale • Strong experience in: • o Workflow/process design • o Change management or transformation • o Stakeholder engagement across business teams • Strong technical fluency and understanding of AI tools and capabilities (e.g., Copilot, LLMs) • Ability to translate business needs into practical usage of technology. Experience scaling AI or advanced technology use cases from pilots into sustained adoption. • Proven ability to drive behavior change and adoption, not just deployment • Strong communication, facilitation, and influence skills across all levels of the organization • Ability to translate strategy into practical execution

🏖️ Benefits

• Annual Performance Bonus • Stock Purchase • Medical Plans • Prescription Drugs • Dental • Vision • Family Assistance Program • FSA • HSA • Pre-Tax Parking Plan • 401(k) • Life/AD&D • Accident • Critical Illness • Hospital Indemnity • Long Term Care • Short-term Disability • Long-term Disability • Business Travel Accident • Identity Theft • Paid Time Off • Flexible Work Options • Paid Holidays • Sabbatical • Gift Matching • Well-Being Stipend • Personal and Professional Development

Apply Now

Similar Jobs

🔥 1 hour ago

Brightidea

51 - 200

☁️ SaaS

⚡ Productivity

🏢 Enterprise

Senior Software Engineer with experience in AI product development at Bright Data. Responsible for building AI-powered features and mentoring teammates in a collaborative environment.

🔥 1 hour ago

TetraScience

51 - 200

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

Documentation Engineer at TetraScience building documentation systems and AI-augmented workflows for scientific AI platform. Leading documentation processes to enhance usability and clarity.

🔥 2 hours ago

CVS Health

10,000+ employees

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Head of AI Engineering and Strategy at CVS Health leading vision for enterprise AI capabilities and driving adoption of modern AI and ML methodologies.

🔥 2 hours ago

Omada Health

201 - 500

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

Senior AI Engineer at Omada Health deploying sophisticated AI solutions in healthcare. Leading AI model deployment and collaborating across teams to drive business impact.

🔥 3 hours ago

DeepSeas

201 - 500

🔒 Cybersecurity

🏢 Enterprise

AI Engineer developing advanced agentic systems to tackle cybersecurity challenges like threat detection and incident response automation. Join a team focused on reliability and performance.