Jan 2023 – Present · 3 yrs 4 mos

• Set the Strategy & Vision
• Developed a multi-year Merchandising Analytics transformation roadmap anchored in a GenAI-first operating model, redefining how analytics serves the global merchandising function — a first-of-its-kind, enterprise-scale initiative rooted in product thinking and customer-centric design.
• Established a future-ready global analytics operating model, with clearly defined responsibilities across Product (Data & Technology), Data Science, Engineering, and Analytics teams. Introduced a structured intake, prioritization, and roadmap governance framework to accelerate product velocity and value delivery.
• Deliver with Quality
• Assumed multiple leadership roles (Sr. Director, Director, Sr. Manager) through 2023–2024, ensuring product continuity, delivery excellence, and adaptability to evolving stakeholder needs — without compromising velocity, scalability, or quality.
• Spearheaded enterprise-wide change management and cross-functional alignment, launching GenAI-powered insight platforms across the 3C framework (Competition, Customer, Company) — institutionalizing data-informed decision-making as a core capability.
• Develop a World-Class Analytics & Product Ops Team
• Scaled the org 5x (from 25+) in under three quarters by building a GenAI-first, product-centric culture. Focused on deepening team capabilities across LLMs, Retrieval-Augmented Generation (RAG), augmented decision intelligence, and cloud-native analytics platforms.
• Built and led a high-performing, diverse, and multi-disciplinary team (0–20 years’ experience), bridging legacy tech (DB2, HQL, HDFS) with modern, AI-native product stacks (Azure ML, Power BI, Python, Prompt Engineering) — enabling the team to deliver business-relevant insights at speed and scale.

Nov 2020 – Jan 2023 · 2 yrs 2 mos

• Led a high-performing, 25-member analytics product team incl data-product comprising seasoned professionals, working closely with cross-functional partners across Merchandising and Supply Chain. With a strong focus on solving complex, high-impact business problems through the lens of the 3Cs — Company, Competition, and Consumer — we integrated insights across digital and store ecosystems to accelerate Target’s omni-channel product and business transformation across categories.
• The team delivered predictive and prescriptive analytics via a scalable, AI/ML-powered platform architecture, designed with a product-first approach to support rapid experimentation, stakeholder alignment, and measurable business impact.
• Key initiatives included:
• Competitive Intelligence Products: Designed and scaled tools for market share visibility and competitive benchmarking, enabling growth in marketplace and e-commerce
• Global Sourcing & Procurement Solutions: Delivered analytics-driven private label strategies by optimizing cost, vendor mix, and supplier value
• Pricing & Promotions Engines: Built elasticity models and GenAI-assisted simulation tools to enable personalized offers and precision pricing decisions
• I directly led product initiatives that empowered senior leaders with actionable, insight-backed decision support, driving strong adoption metrics, stakeholder satisfaction, and incremental business value realization.
• 🔭 Team Vision: “Build the most informed team in retail and help Target win with data-driven product thinking.”

Jul 2017 – Nov 2020 · 3 yrs 4 mos

• Led the design and deployment of Target’s first three modern data products in the form of scalable data engineering pipelines, powering key Merchandising use cases and enabling enterprise-wide adoption of cloud-native, data-as-a-product principles.
• Developed ingestion pipelines integrating APIs and legacy DB2 systems, with built-in observability and reusability
• Created foundational and aggregated datasets by unifying Sales, Inventory, and Finance sources on HDFS
• Enabled self-serve analytics via Druid ODS forward cache, with outputs delivered through Domo and Tableau
• Embedded productized engineering practices: SonarQube (code validation), Grafana (monitoring), and Vela (CI/CD)
• Designed Target’s Enterprise Data Architecture and Governance Framework, anchored on four pillars — data, tools, infrastructure, and talent — to streamline the data product lifecycle, drive operational efficiency, and unlock measurable business value.
• Drove the cloud migration of Clickstream event data as part of GCP core strategy team — defining architecture, workload prioritization, and scalable data delivery aligned with data consumption patterns.
• Led platform modernization by sunsetting legacy BI systems (Tableau Classic, CA_Viewer, WebFOCUS), and transitioning to a Hadoop-based ecosystem — delivering enterprise-scale data products and generating over $5M in savings.
• Established a centralized Product & Program Management Office (PMO) to govern prioritization, resource alignment, and delivery excellence. Created a reusable PMO playbook, KPIs, and standardized tools for consistent execution across all initiatives.

Apr 2012 – Feb 2016 · 3 yrs 10 mos · Greater Minneapolis-St. Paul Area

• Led a multi-million dollar Supply Chain Business Intelligence program from Minneapolis, managing 6 agile teams and over 100 cross-shore resources. Defined guiding principles and oversaw the buildout of a unified Enterprise Data Warehouse (EDW) on Teradata, consolidating fragmented data sources into a scalable, high-performance platform for enterprise analytics.
• Directed a $50M multi-year strategic initiative to deliver Target’s next-gen enterprise customer platform. Successfully evaluated, onboarded, and managed a 140-member Accenture team, delivering 10 high-impact dashboards and 40 business-critical reports using MicroStrategy — enabling actionable customer insights at scale.
• Championed enterprise-wide Agile transformation, enabling adoption of Scrum practices across 600+ team members and 80 Scrum teams distributed across the U.S. and India. Also led the rollout of a DevOps and CI/CD (Continuous Integration/Delivery) framework, significantly improving deployment velocity and operational efficiency.