Director, Data Science & Strategy

The Opportunity

Adobe is reimagining what creativity looks like in the age of AI where generative models intelligent agents and human imagination work together to make the creative process faster smarter and more expansive. As Director DataScience& Strategy Agentic Product you will lead Data Science and Strategic Insights for Adobes Agentic team spanning Firefly and third-party agents. You will help shape how AI augments creators automates routine work andextendsAdobes creative intelligence to new surfaces and audiences.

Adobes creative capabilities are increasingly in demand across the broader AI ecosystem. Our Agentic Product team is doing two things in parallel: building a central agentic platform anchored in Firefly and packaging and publishing Adobes unique creative and productivity capabilities across a rapidly expanding landscape of third-party AI surfaces chat portals desktop and mobile operating systems and vertical applications across industries. The mission is to be the creative agent of the AI era: embedded everywhere people create and the force that brings them to Adobe.

This work requires a leader who combines deep technical fluency in data and AI systems with the strategic judgment to translate those capabilities into business the agentic era that means going beyond traditional analytics understanding how autonomous systems plan reason and act; designing data infrastructure that serves both human and machine consumers; and building the evaluation frameworks needed to trust and govern AI-generated outputs. Equally important is the ability tooperatewith clarity in ambiguity knowing where automation shouldstopand human judgment must lead. The ideal candidate brings intellectual honesty a high bar for quality and the cross-functional influence to shape not just what the data says but what the organization decides to do with it.

This is a rare opportunity to define Adobes presence in the next generation of creative software distribution.The person in this role will partner across product engineering partnerships corporate strategy and GTM using data and insight to inform a scalable strategy that grows Adobes first-party products while compounding reach across third-party surfaces ensuring every experience reflects the quality and creative intelligence Adobe is known for.This is a senior ICrole andrequires hands on experience to build thesystems we need ready to roll up sleeves get in the trenches.

WhatYoullDo

• Define the measurement framework for agentic productsestablishthe metrics taxonomies and evaluation standards that capture how AI agents perform where they create value and how success is defined across both first-party and third-party surfaces

• Build AI-native analytical workflows leverage LLMs and agentic tools tocontinuously and proactively analyze data generate insights and report anomalies at scale

• Instrument and accelerate agentic experimentation design and own the experimentation infrastructure and statistical frameworks needed to run rapid A/B and multivariate tests across agentic surfaces translating PLG signals activation rates feature adoption retention curves into rigorous reproducible insights that drive product iteration at speed

• Shape product and GTM strategy through data serve as a strategic thought partner to product partnerships and GTM leads translating complex data signals into clear recommendations that influence roadmap prioritization and go-to-market decisions

• Design the strategic intelligence layer develop repeatable frameworks for competitive analysis opportunity sizing and performance benchmarking that both the Firefly and third-party agent teams can act on with confidence

• Drive insight governance and standardsestablisha shared language for how data is interpreted and used across teams ensuring analytical outputs are consistent trustworthy and actionable and that the right humans are in the loop where agent judgment alone is insufficient

What you need to succeed

• 10 years of experience in data science analytics or strategic insights ideally within AI-driven products creative software or platform ecosystems.

• Deep fluency in the mechanics of agentic systems how agents plan act and are evaluated with the ability to design measurement frameworks that capture performance quality and business impact across both first-party and third-party surfaces.

• Expert-level command of experimentationmethodology A/B testing causal inference and multivariate analysis paired with a strong PLG instinct for the metrics that drive activation retention and growth in product-led motions.

• Proven ability to build AI-native analytical workflows using LLMs and agentic tooling to move beyond manual analysis and surface insights at scale and speed.

• Exceptional strategic thinking with the ability to translate complex data signals into clear opinionated recommendations that influence roadmap and go-to-market decisions.

• Strong executive presence and communication skills able to present findings with clarity and conviction to senior leaders and to align cross-functional teams around a shared analytical framework.

• Comfortoperatingin ambiguity and definingnew approachesin spaces where the playbookdoesntyet exist.

• Passion for Adobes mission and a genuine belief that AI should amplify not replace human creativity.