PRINCIPAL PRODUCT LEADER · ENTERPRISE AI · DATA PLATFORMS
From Chaos to Clockwork.
I build AI-powered and data-intensive products, and the operating systems that help teams deliver them at scale.
At Oracle, I led product transformation across a 300-person organization, accelerating time-to-market by up to 67% and reducing post-release defects by 90%. Today, I build production AI products using RAG, agentic workflows, human-in-the-loop controls, and measurable evaluation frameworks.
Open to Principal Product Manager, Group Product Manager, and Director-level opportunities across enterprise AI, platforms, workflow automation, and data products.
I've led
at Oracle
enterprise delivery
& regulated industries
15M+ USERS
FINANCIAL DATA
HEALTHCARE
CONSULTING
15M+ USERS
FINANCIAL DATA
HEALTHCARE
CONSULTING
Product leadership built for complexity.
I'm a product leader and builder with 15+ years of experience across enterprise SaaS, financial services, healthcare, analytics, and AI.
I have built 0→1 products, transformed how large organizations deliver, and helped teams turn fragmented workflows into repeatable operating systems. My work sits at the intersection of product strategy, technical execution, organizational alignment, and measurable customer value.
At Oracle, I led operating transformation across two enterprise platforms and a 300-person organization. At S&P Global, I built a predictive behavioral analytics platform from concept through production. At The AI Pit Stop, I now design and ship applied AI products using RAG, agentic workflows, evaluation systems, and human oversight.
I am at my best when the problem is complex, the stakeholders are numerous, and the path forward is not yet obvious.
Enterprise Product Leadership
Strategy, roadmaps, platform modernization, organizational alignment, and product operating models.
AI Product Development
RAG, agentic workflows, AI evaluation, confidence gating, human-in-the-loop design, and production readiness.
0→1 Data Platforms
Behavioral analytics, predictive models, telemetry, real-time insights, and measurable business outcomes.
Start with the problem. Build around the evidence.
I believe great product leadership is not about having the loudest vision or the longest roadmap. It is about understanding the problem deeply, making clear choices, aligning people around those choices, and learning quickly from what happens after you ship.
Define the customer problem, market opportunity, business value, and measurable outcomes before committing to a solution.
Turn strategy into clear priorities, aligned teams, iterative releases, and reliable feedback loops.
Measure customer and business outcomes, challenge assumptions with evidence, and scale what proves valuable.
AI can accelerate the work. Product judgment still belongs to people.
Building products, platforms, and teams at enterprise scale.
15+ years leading product development and digital transformation across enterprise SaaS, financial services, healthcare, analytics, and applied AI.
Build and validate applied AI products from discovery and workflow design through prototyping, evaluation, and production.
- Shipped the AI Readiness Diagnostic and Customer Support Agent to production.
- Built AI-enabled products using RAG, agentic workflows, structured evaluations, golden datasets, confidence thresholds, and human-in-the-loop controls.
- Created APOS, an Agentic Product Operating System for helping product organizations improve decision-making, alignment, and execution.
- Benchmark GPT, Claude, and Gemini for output quality, reliability, latency, and cost.
Design and deliver hands-on learning experiences in AI product management, product strategy, agentic workflows, RAG systems, discovery, prioritization, and outcome-based roadmaps.
- Teach product managers how to move from using AI tools to designing and evaluating AI products.
- Coach product managers and analytics leaders using challenges from their current roles.
- Translate complex AI concepts into practical product decisions, working systems, and portfolio-ready evidence.
Led product strategy, operational transformation, and AI-enabled experiences across two enterprise platforms serving a 15M+ user ecosystem.
- Designed and introduced a product operating model across a 300-person organization, aligning 50+ stakeholders across Product, Engineering, Support, Customer Success, Delivery, DevOps, Sales, and Marketing.
- Reduced release timelines from 6–9 months to a quarterly cadence, improving time-to-market by 50–67%.
- Established shift-left quality practices and a Tiger UAT program, reducing post-release defects from 159 to approximately 10–15.
- Introduced OKR alignment, prioritization frameworks, dependency management, technology-debt governance, operational reviews, and executive reporting.
- Helped define and ship a production RAG-based support assistant using enterprise content, vector retrieval, confidence gating, and human escalation.
- Defined telemetry and adoption metrics that improved visibility into customer behavior and product performance.
Built a 0→1 enterprise behavioral analytics platform that transformed fragmented reporting into real-time product and customer intelligence.
- Led the platform from discovery and strategy through development, rollout, and continuous improvement.
- Partnered with Data Science to create behavioral models and risk scoring that identified declining user activity.
- Enabled proactive customer interventions that contributed to a 10%+ improvement in year-over-year retention.
- Replaced weeks-long manual analysis with real-time dashboards and predictive insights.
- Coordinated Product, Engineering, Data Science, Sales, Customer Success, and Compliance stakeholders across multiple divisions.
Led the 0-to-1 consolidation of four divisional websites into one unified global platform — a single reusable framework, customized for each division, delivered on a tight timeline.
- Led the 0-to-1 consolidation of four divisional websites into a unified global platform supporting localization, personalization, and experimentation across regions.
- Defined personalized digital experiences that displayed relevant content based on users' location, language, and interests, leading delivery across Product, Design, Engineering, Marketing, and regional stakeholders.
Led digital workflow and platform initiatives supporting healthcare providers, administrators, and patient-facing experiences.
- Translated clinical, operational, and patient needs into product and workflow requirements.
- Improved provider and patient experiences across complex healthcare systems, contributing to a 40% increase in patient engagement.
- Aligned technology, clinical, administrative, and compliance stakeholders while maintaining HIPAA requirements.
View Earlier Experience
Founded a SaaS influencer marketplace from zero in an entrepreneurial, high-ambiguity environment, scaling to a 10,000+ creator network through data-informed iteration and full lifecycle ownership from vision through go-to-market.
Led migration from Drupal to AOL's custom CMS, modernizing publishing workflows and infrastructure and contributing to $1M in annual cost savings.
Helped build and launch Smiley360, a consumer advocacy and social marketing platform, managing requirements and the product lifecycle from concept through launch.
Designed and delivered undergraduate CS curriculum, grounding a career-long orientation toward structured systems thinking.
Managed website development and delivery workflows across multiple client accounts.
Outcomes that changed how products and teams performed.
Reduced post-release defects from 159 to approximately 10–15 by establishing shift-left quality practices and a cross-functional Tiger UAT program.
Helped move enterprise releases from a 6–9-month cycle to a reliable quarterly cadence by redesigning operating rhythms, dependency management, and quality gates.
Built operating mechanisms connecting 50+ stakeholders across Product, Engineering, Support, Customer Success, Sales, Marketing, Delivery, and DevOps.
Helped define and launch a grounded AI support experience using enterprise content, vector retrieval, confidence gating, and human escalation.
Led S&P Global's behavioral analytics platform from discovery through production, replacing weeks-long reporting cycles with real-time intelligence.
Partnered with Data Science to create behavioral risk scoring that enabled proactive customer intervention and contributed to improved year-over-year retention.
Five projects. Five different questions answered.
How Priyanka created greater alignment, visibility, quality, and execution discipline across a complex Oracle product organization.
How Priyanka helped define and ship a production RAG experience designed to answer user questions reliably while escalating uncertain responses to humans.
How Priyanka took fragmented product-usage data and built a 0→1 analytics product that helped teams identify customer behavior and retention risk.
How behavioral evidence led Priyanka to challenge her own team's plan mid-project — and change the direction of a platform serving four global divisions.
How Priyanka is applying her enterprise product experience hands-on to building and evaluating AI products.
What I'm building now.
I use current AI products to deepen my judgment as a product leader, not simply to demonstrate that I can use AI tools.
Each product begins with a defined user problem and moves through workflow analysis, prototyping, model selection, evaluation, human oversight, and production readiness.
AI Readiness Diagnostic
A production decision-support product that evaluates organizational readiness across strategy, data, technology, governance, people, and operating processes.
Customer Support Agent
A production AI agent designed to provide grounded customer guidance, recognize uncertainty, and escalate when human judgment is required.
Fantartistic
An AI-enabled consumer experience, built within The AI Pit Stop, that transforms personal memories into watercolor-style keepsake artwork.
Context Debt System
A decision-memory product that converts fragmented conversations, documentation, and meeting context into a queryable organizational knowledge layer.
APOS
An Agentic Product Operating System designed to help product leaders reduce strategic drift, alignment tax, and context debt.
I don't just manage a roadmap. I build the conditions that help teams deliver.
Led recurring operational alignment across Product, Engineering, Support, Customer Success, Marketing, Sales, Delivery, and DevOps.
Coached and enabled 7+ product managers in roadmap governance, product discovery, compliance, prioritization, and data-informed decision-making.
Used customer evidence, behavioral data, business outcomes, and clearly framed tradeoffs to influence senior leadership decisions.
Established OKRs, prioritization systems, release governance, dependency management, quality gates, and decision-making rhythms.
Created Tiger UAT and shift-left quality practices that reduced post-release defects by 90%.
Balanced customer needs, platform strategy, technical debt, compliance requirements, and cross-team dependencies across a 300-person organization.
What Colleagues Say.
"One of the attributes I appreciated most was her efficiency mindset — always identifying opportunities to streamline process or champion standardization where variability was creating operational challenges. In short, if you are looking for a passionate, Agile-equipped, process-oriented leader with excellent communication skills, then look no further."
"Priyanka excelled as both Project Manager and Product Owner, ensuring smooth delivery and clear communication throughout. Her ability to manage complex requirements and keep the team aligned was impressive."
"Priyanka brought solutions to our scrum team working closely with the product owners and acting as a bridge between technical scrum teams and functional counterparts. She has the right balance of soft skills and technical expertise to lead any project."
Ideas from the work.
I write about enterprise product leadership, AI product judgment, responsible adoption, and the operating systems that help teams turn strategy into measurable outcomes.
The full career story.
Explore my experience building enterprise products, AI-enabled platforms, product operating systems, and 0→1 data products across Oracle, S&P Global, Weill Cornell Medicine, and The AI Pit Stop.
Updated September 2026