Internal AI Innovation Analyst

Analyst Internal AI Innovation

Locations Accepted: Miami NYC

Kaseya is seeking an Analyst Internal AI Innovation to help discover shape and deliver high-impact AI solutions across our finance and operations functions. This is a business-facing high-visibility role focused on driving measurable financial outcomes by applying modern generative AI and automation tools to real workflows. The ideal candidate is someone who thrives in ambiguity enjoys blending strategy with execution and is excited to be both a driver of Kaseyas internal AI innovation and pioneer of its AI future.

In This Role You Will

• Partner with finance and operations leaders to map processes and prioritize opportunities where AI workflows can deliver ROI efficiency and competitive advantage.
• Translate ambiguous business goals into actionable AI programs with clear objectives success metrics data needs solution logic and rollout approach.
• Rapidly build and iterate prototypes and MVPs (weeks not months) using generative AI tools low/no-code automation and light scripting where helpful.
• Run quick-turn pilots (typically 16 weeks): define baselines test solutions gather feedback and iterate toward outcomes that hold up in the real world.
• Quantify and track impact: build simple ROI models and scorecards (time quality cost revenue) and communicate results in clear executive-friendly narratives.
• Drive adoption and change management through demos training sessions office hours and stakeholder communications.
• Partner with IT Security Legal and Compliance to ensure solutions meet governance privacy data handling and security standards.
• Coordinate handoffs to Engineering/Data/BIS for scalable production implementations (requirements testing notes monitoring needs and ongoing improvement plan).

You Might Thrive In This Role If You Have

• 13 years of experience in corporate finance/FP&A consulting investment banking/PE operations strategy analytics product/ops or a similarly rigorous fast-paced environment.
• Bachelors degree in a business-related field (business administration finance accounting economics) or technical field (computer science engineering data science).
• Demonstrated passion for curiosity-driven experimentation and the ability to speak to personal GenAI projects favorite tools and lessons learned.
• Strong conviction in AIs transformative potential and excitement about driving it forward.
• An analytical foundation and comfort applying a financial lens to decisions (ROI thinking cost/benefit tradeoffs unit economics and business cases).
• A bias for action comfort with ambiguity and the ability to create structures where none exist.
• Technical acumen: Practical knowledge of modern AI platforms large language models and MLOps concepts; experience with Python SQL Power BI or data modeling tools is a plus (not required).
• Excellent Excel skills; experience building models and turning messy data into defensible outputs.
• Comfort working across stakeholders: you can listen synthesize and translate between business and technical audiences without losing the plot.
• Strong communication and storytelling skills including writing crisp docs building clean PowerPoint presentations and presenting key insights to leaders.
• Best-in-class attention to detail and an unwavering commitment to accuracy.
• Most importantly the desire to learn and ability to adapt to new problems. This role intentionally covers a wide breadth of functional areas and departments. Working here you will be encouraged to grow and learn a lot in a short time. This is a great role for someone looking to start their own business one day or someone who wants to get a strong understanding of how everything within a business is tied together.