AI & Data Science Leader
Driving scalable, product-led growth through data
I build and scale data science, experimentation, and AI-driven analytics platforms that transform how digital products grow, operate, and make decisions.
Executive Summary
I am a senior AI and data science leader with a proven track record of building and scaling data platforms, experimentation frameworks, and analytics infrastructure across high-growth startups and established technology companies. My expertise spans AI-driven product analytics, machine learning operationalization, self-serve data ecosystems, and strategic data platform architecture that enables organizations to make faster, more informed decisions.
Throughout my career, I've led cross-functional data teams through critical growth phases, mentoring analysts and engineers while establishing best practices for experimentation, measurement, and insights delivery. I've transformed analytics organizations from reactive reporting functions into proactive strategic partners that drive measurable business outcomes. My leadership extends beyond organizational boundaries through active contributions to the data science community, including speaking engagements at Data Science Salon, industry webinars, and published thought leadership that shapes how modern data teams operate.
I operate at the industry level, not just within individual companies. My work influences how organizations think about analytics infrastructure, experimentation strategy, and the role of data in product-led growth. Through public presentations, written publications, and community engagement, I share frameworks and methodologies that help data leaders navigate the evolving landscape of AI, analytics platforms, and organizational transformation.
Impact & Leadership
I deliver transformational results by combining technical excellence with strategic vision. My work creates lasting organizational capabilities that continue generating value long after initial implementation.
Scaling analytics infrastructure
Architected and deployed enterprise-grade analytics platforms supporting thousands of queries daily. Implemented modern data stack solutions that reduce technical debt and enable rapid iteration.
Building self-serve data ecosystems
Transformed analytics from a bottleneck into an enabler by creating self-service capabilities for PMs, engineers, and executives. Reduced ad-hoc requests through robust governance and discoverability.
Implementing experimentation frameworks
Established company-wide A/B testing platforms that democratized data-driven decision-making. Automated statistical analysis, reducing time from experiment completion to decision from days to hours.
Accelerating decision velocity
Eliminated organizational bottlenecks by redesigning data access patterns and creating decision-ready dashboards. Enabled executive teams to move from quarterly to weekly strategic reviews with confidence.
Webinars & Talks
I actively contribute to the data science community through speaking engagements, webinars, and written thought leadership. My work has reached thousands of practitioners and shaped industry conversations around modern analytics practices.
Publications & Written Thought Leadership
A Practical Journey to Self-Serve Analytics
Authored comprehensive guide on scaling self-serve analytics using modern catalogs. Featured by Data Science Salon, highlighting reduced bottlenecks, 50% faster analyst onboarding, and the strategic shift from reactive reporting to proactive partnership.
4 Ways Kong is Scaling Analytics with Hex
Authored deep dive into Kong's analytics transformation, including KPI dashboards, collaborative workflows, A/B test automation, and North Star metric alignment that drives organizational focus.
Kong Customer Spotlight — Product Analytics Lead
Featured industry case study detailing implementation of self-service analytics applications, Business Summary command center, and measurable time savings of approximately 4 hours per dashboard.
Thought Leadership & Philosophy
My work is guided by core principles that shape how I approach data leadership, team building, and organizational transformation. These perspectives inform my strategic decisions and community contributions.
AI as infrastructure, not experiment
StrategyArtificial intelligence must be treated as foundational infrastructure that enables organizational capabilities, not as isolated experiments. This requires investment in platforms, governance, and integration patterns that make AI accessible and reliable across the organization.
Data storytelling as a leadership tool
LeadershipThe most impactful data leaders master the art of translating complex analysis into compelling narratives that drive action. Data storytelling bridges technical rigor and executive decision-making, building trust and alignment across organizational levels.
Self-serve analytics as cultural transformation
CultureSelf-serve analytics is fundamentally about cultural change, not just tooling. Success requires rethinking incentives, establishing clear ownership, building literacy, and creating psychological safety for data-driven experimentation.
Experimentation as product strategy
ProductRigorous experimentation frameworks transform product development from opinion-driven to evidence-based. Organizations that embed experimentation into their DNA ship faster, learn continuously, and build products customers actually want.
Analytics teams as strategic growth partners
Org designThe evolution from reporting to partnership requires analytics teams to develop deep business context, proactively identify opportunities, and operate as co-owners of outcomes rather than service providers waiting for requests.
"Modern data leaders must operate at the intersection of engineering rigor, product intuition, and executive storytelling. This convergence — where technical depth meets strategic vision — is where transformational impact happens."
Community & Industry Contributions
Beyond organizational leadership, I actively contribute to the broader data science ecosystem through speaking engagements, panel discussions, and knowledge sharing initiatives. My work with Data Science Salon and participation in cross-company forums helps elevate industry standards and enables practitioners to learn from real-world implementations.
I believe in mentorship as a multiplier of impact, investing time in developing the next generation of data leaders and fostering communities where practitioners can share challenges, solutions, and emerging best practices.
Expertise areas
Connect
I welcome opportunities to contribute to industry conversations, share insights with data science communities, and collaborate with organizations advancing the state of analytics and AI infrastructure. For speaking engagements, conference panels, webinar collaborations, or industry knowledge-sharing inquiries, please connect via LinkedIn or email.
I'm particularly interested in discussions around scaling analytics organizations, experimentation frameworks, self-serve data platforms, and the evolving role of AI in product strategy. I bring both technical depth and executive communication skills to these conversations.