Swati Kumari

Swati Kumari is a product leader specializing in AI/ML solutions, data platforms, and enterprise infrastructure modernization, with 8+ years of experience spanning finance, insurance, telecommunications, and enterprise technology. Her work sits at the intersection of data engineering rigor and product execution—translating large-scale datasets into forecasting systems, operational automation, and governance platforms that deliver measurable business outcomes. Across these environments, Swati has built a reputation for driving complex programs from strategy through launch readiness, with a consistent focus on reliability, adoption, and quantified impact.

Swati’s technical grounding is broad and practical: cloud ecosystems including AWS, Azure, GCP, and Redshift; enterprise databases such as SQL Server, MySQL, Oracle, PostgreSQL, and DB2; and analytics and governance tools spanning Tableau, Power BI, Looker, QlikSense, SAS, KNIME, Informatica, and Collibra. She brings hands-on fluency in Python, R, and SQL, and applies machine learning methods across forecasting and decision-support contexts—ranging from regression/classification and feature engineering to time-series analysis, clustering, ensemble methods, and NLP. That technical literacy enables her to function as a high-leverage interface between engineering, data science, operations, and business stakeholders—aligning system design decisions to business outcomes without losing correctness, auditability, or scalability.

At NucleusTeq, Swati led multiple high-impact initiatives where product strategy and operational execution directly shaped enterprise outcomes. As Go-To-Market Product Manager for Comcast’s vBNG enablement under the Fiber First program, she defined GTM strategy for Remote Switch provisioning and coordinated across Network Engineering, Access Design, Capacity Ops, and Headend teams. Her work formalized launch readiness through operational playbooks and stakeholder guides, while helping enable fiber infrastructure rollout to over 5 million potential customers. The delivery outcomes were operationally tangible: 35% faster provisioning turnaround time, 30% fewer manual errors, and 40% reduction in rework—results that reflect a product leader who treats process design and system enablement as measurable levers.

As Lead Product Manager for the Predictive Estimated Construction Completion Date (ECCD) initiative, Swati led requirements definition for system-generated ECCDs and partnered with AI/ML teams to embed predictive modeling into construction workflows. The system generated predictions at key lifecycle stages—Job Creation, Design Completion, and Permit Completion—and was piloted in phases across Mountain West, Keystone, and Heartland regions. This program improved forecast accuracy while introducing governance primitives (audit trails and confidence scoring) that increased trust and usability for construction teams operating in real-world variability.

Swati’s portfolio extends beyond forecasting into applied generative AI and governance at platform scale. As Product Manager for Nova, an enterprise Generative AI platform at NuoData, she led the launch of low-code/no-code workflows that allowed business users to build and deploy AI models, introduced RAG-powered AI agents for summarization, translation, and chatbots, and embedded MLOps capabilities for operational deployment. Nova integrated both open-source model ecosystems (e.g., Llama and Hugging Face) and API-based models (e.g., OpenAI and Anthropic), accelerating deployment cycles and making AI agent creation accessible to non-technical users. The reported outcome—10× reduction in AI model deployment time—reflects product execution focused not just on capability, but on repeatable delivery at enterprise speed.

In parallel, Swati led Conversational AI Integration to build an enterprise assistant for bug submission and tracking, defining the integration roadmap and user experience framework while partnering with engineering teams. The beta impact included a 25% reduction in duplicate tickets, demonstrating value through workflow compression and higher signal in issue management. As Lead Product Manager for Astra, a Data Governance and Metadata Management Platform, she drove integration with 450+ data sources, implemented automated PII detection, and designed data lineage frameworks—delivering 60× faster time-to-insight by improving discoverability, standardization, and trust in enterprise data.

Across her initiatives, Swati’s work is consistently described through measurable outcomes: 30% YoY revenue increase through AI/ML solutions, $15M annual labor cost savings through RPA with SAP, and 50% enhancement in customer support efficiency, alongside improvements in retention, engagement, credit-loss reduction, metadata consistency, and incident reduction via governance platforms. She complements delivery with institution-building: operational playbooks, Data Governance Councils, and cross-functional leadership across engineering, operations, and data science—raising governance maturity while accelerating execution.

Her approach also reflects responsible technology leadership. She has designed governance frameworks aligned to financial regulatory expectations (e.g., OFAC, BSA/AML, USA PATRIOT Act) and implemented PII-aware data pipelines—treating compliance, audit readiness, and data stewardship as first-order product requirements rather than afterthoughts.