AI Solutions & Implementation Manager
The AI Solutions & Implementation Manager will define, prioritize, implement, and scale AI-enabled solutions. This role involves identifying automation opportunities, translating business processes into requirements, managing pilots, and coordinating implementation.
What You’ll Do
- Own and manage implementation plans for AI-enabled workflow improvements across key operational areas.
- Structure ambiguous business problems into clear opportunity areas, work plans, milestones, risks, and decision points.
- Build business cases for AI initiatives, including opportunity sizing, operational impact, implementation effort, cost, ROI, and realized benefit tracking.
- Translate business processes into workflow maps, requirements, success metrics, operating procedures, and implementation plans.
- Analyze operational data, process performance, and stakeholder input to identify automation opportunities and prioritize the highest-impact work.
- Lead cross-functional execution across Data Engineering, Software Engineering, Data Science, Business Analytics, Claims, Underwriting, Ops, Finance, vendors, and stakeholders
- Manage vendor pilots and implementation workstreams, ensuring clear scope, success criteria, timelines, ownership, and measurable outcomes.
- Create executive-ready materials, including roadmap updates, decision memos, business cases, KPI reporting, and implementation readouts.
- Communicate updates, risks, blockers, recommendations, and business impact clearly and proactively.
- Use data, judgment, and business context to inform prioritization, solution design, implementation decisions, and recommendations.
- Partner with frontline teams to drive adoption, collect feedback, identify failure modes, and improve workflows after launch.
- Ensure AI initiatives are completed in accordance with applicable policies, procedures, standards, and regulatory requirements.
- Perform other role-related responsibilities as assigned and aligned with business needs.
What You Bring
- 3+ years of experience in management consulting, business operations, corporate strategy, product operations, implementation, analytics, or a similar high-impact execution role.
- Experience in structuring ambiguous problems, conducting analysis, developing recommendations, and driving cross-functional execution.
- Experience building business cases, sizing opportunities, defining KPIs, managing work plans, and communicating recommendations to senior stakeholders.
- Strong understanding of business processes, operational performance, data-driven decision-making, and business impact measurement.
- Demonstrated ability to manage cross-functional initiatives, partner with stakeholders, and deliver high-quality work in a dynamic business environment.
- Bachelor’s degree in Business, Economics, Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
- Experience working in management consulting, private equity portfolio operations, business operations, product strategy, or a high-growth operating environment.
- Experience using systems and tools such as Zendesk, HubSpot, Decagon, Sierra, Ada, Claude, OpenAI, Snowflake, dbt, Power BI, GitHub, or similar platforms.
- Additional education, certification, or training in analytics, AI, automation, operations, product management, implementation, or strategy.
- Prior experience in fintech, insurance, proptech, real estate operations, claims, underwriting, customer support automation, or workflow transformation.
Benefits
- Opportunities to make an impact within a fast growing company
- Medical, dental, & vision insurance, beginning day one
- Health savings account with employer contribution
- Flexible spending accounts (healthcare, dependent care, commuter)
- 401(k)
- Generous PTO and paid holidays
- In-office lunch Perk
- Flexible working hours
- Paid parental leave
- Company sponsored short and long term disability
Base Salary
The base salary range is between $180,000 - $200,000 annually. Base salary does not include other forms of compensation or benefits. Final offer amounts are determined by multiple factors, including prior experience, expertise, location and current market data and may vary from the range above.
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