Preeti Sharma

• Co-founded and helped build an AI and Decision Intelligence consulting business serving CPG, retail, healthcare, and energy clients. • Led product strategy for AI-driven analytics, connected packaging, and decision intelligence offerings. • Designed AI-powered solutions including conversational analytics, digital product identity, and executive dashboards. • Worked directly with enterprise customers to identify business problems, define product roadmaps, and create solution proposals. • Led GTM strategy, customer discovery, solution architecture, and executive presentations. • Built thought leadership through industry research, LinkedIn content, and customer outreach. • Collaborated with engineering and data teams to define AI use cases and delivery plans.

Led discovery and delivery of a new analytics experience by identifying friction in how customers explored and acted on insights, aligning cross-functional teams on a shared problem statement, and iterating through multiple experiments to arrive at a scalable solution. Led discovery and delivery of a conversational analytics experience adopted by nearly one-third of active customers within five months, reducing time-to-insight through natural-language interactions. Improved time-to-insight by enabling customers to start analysis through natural, goal-oriented interactions rather than complex navigation, reducing analysis steps from 7 to 2 through conversational analytics. Defined product vision and roadmap for analytics and insight workflows across video, application, and digital product use cases, taking a holistic view of how insights, workflows, and actions connect. Partnered with design, engineering, and data teams to test assumptions early, learn from real usage, and refine solutions before scaling, fostering a strong experimentation culture. Established success metrics beyond feature usage, including engagement depth, task completion, and interaction patterns, to better understand whether the product was truly helping customers. Collaborated closely with customer-facing teams to run alpha and beta programs, gather qualitative and quantitative feedback, and improve clarity, trust, and usability before broader rollout. Led improvements to core product workflows and visual experiences, making complex data more accessible and reducing cognitive load for end users.

Owned product strategy from problem definition to execution, balancing short-term wins with long-term platform thinking, and driving alignment across engineering, design, and go-to-market teams Owned product strategy end to end from problem definition through execution balancing short-term customer impact with long-term platform thinking while aligning engineering, design, and go-to-market partners. Translated ambiguous business needs into clear product direction by synthesizing customer problems, success metrics, and risks into concise artifacts that enabled confident decision-making. Led prioritization and trade-off discussions across business, sales, customer-facing, and technical teams, focusing on outcomes and opportunity cost rather than feature volume. Maintained a strong customer connection through regular customer conversations, using insights from real workflows and pain points to shape discovery and solution design. Partnered closely with design and engineering to evolve ideas from early concepts to shippable solutions, ensuring clarity, usability, and feasibility throughout the lifecycle. Evaluated build-versus-buy decisions with a holistic lens, considering customer value, scalability, technical complexity, and long-term ownership. Took a systems view of the product ecosystem, identifying opportunities to simplify workflows, reduce fragmentation, and improve how different components worked together. Led the development of a unified customer data platform, enabling teams to work from a consistent, trusted view of customer information across multiple sources. Delivered platform capabilities for data ingestion and integration, enabling teams to onboard diverse data sources reliably while maintaining flexibility for future growth. Drove privacy and compliance initiatives by enabling customer-controlled data corrections and supporting regulatory requirements, building trust into the product by design. Collaborated with data and ML partners to explore intelligent product capabilities such as identity resolution, sentiment understanding, and customer segmentation, grounding innovation in real user needs. Established a center of excellence for technical product management, focusing on mentoring, shared standards, and raising the overall quality of product thinking across teams. Introduced early validation and quality checks in data workflows to reduce downstream issues and improve reliability for both internal teams and customers.

Owned product outcomes for a core autonomous driving capability, working closely with engineering and data science teams to translate complex customer and system requirements into clear, prioritized product direction. Led backlog ownership and prioritization, balancing delivery commitments with long-term product quality, scalability, and reliability. Partnered with data scientists to define and refine machine learning driven solutions for traffic sign classification, ensuring models aligned with real-world usage and product needs. Took a systems-level view of traffic sign ingestion and recognition, identifying data quality gaps and collaborating with engineering to improve reliability across large-scale sensor data pipelines. Contributed to roadmap planning by aligning technical constraints, customer requirements, and delivery timelines, enabling predictable and high-quality releases. Supported cross-team planning and execution by coordinating dependencies and helping teams focus on the highest-impact work. Enabled better decision-making by building and maintaining analytical views that helped teams understand the impact of releases across regions and customer environments. Delivered customer-facing capabilities that powered real-time traffic sign detection in production autonomous driving systems, operating at scale and under strict reliability expectations. Served as a domain partner to engineering and data teams, helping clarify requirements and iterate on learning and unlearning mechanisms as product needs evolved. Owned the end-to-end lifecycle for new product capabilities from discovery and requirement definition through delivery and validation ensuring alignment across cloud, data, and application layers.

Partnered closely with customers to understand real-world workflows and constraints, translating complex business requirements into clear product configurations and scalable solutions. Led post-implementation engagements for enterprise healthcare customers, balancing immediate customer needs with long-term product maintainability and operational reliability. Collaborated with architects and technical leaders to shape implementation approaches, sequencing work thoughtfully to manage risk, dependencies, and delivery timelines. Enabled customers to automate critical healthcare processes, improving efficiency and accuracy across claims, remittance, and authorization workflows. Acted as a trusted product and domain partner to both customers and internal teams, clarifying requirements, managing change requests, and ensuring alignment on outcomes. Developed and delivered customer-facing training and documentation, making complex systems easier to adopt and operate while supporting long-term customer success. Strengthened internal capabilities by mentoring team members and sharing best practices across implementations and customer-specific extensions. Supported data-driven decision-making by enabling operational reporting and analytics that helped teams monitor transaction health and system performance. Worked across integration layers and industry standards, helping teams reliably exchange data across systems while maintaining compliance and interoperability. Contributed to large-scale enterprise implementations by ensuring solutions met regulatory, operational, and customer expectations in high-stakes environments.

Contributed across the full product development lifecycle—from problem analysis and design through implementation and validation—gaining a strong foundation in building reliable, user-facing products. Worked within agile teams, actively participating in ceremonies and helping reinforce shared delivery practices through scrum training and knowledge sharing. Helped deliver and evolve an HR platform used by customers in Norway, developing features that supported core employee workflows and administrative needs. Built and enhanced modular product capabilities, including employee profiles, performance management, career development, access controls, and configuration experiences. Supported international customers by contributing to multi-language product capabilities, improving usability and adoption across regions. Developed a strong technical foundation and product sensibility by collaborating closely with engineers and using data and feedback to refine solutions.