Volunteering as product advisor helping Celiapp grow in the health tech space. Celiapp helps food allergy sufferers navigate life avoiding ingredients threatening their health and wellness

As the Manager of Product Management, I confidently led the teams responsible for infrastructure, data engineering, data visualization, and machine learning on the big data platform.• My team is dedicated to extracting, transforming, and producing reliable data processes that meet our end users' unique requirements. My expertise and experience guarantee that our processes are robust and repeatable, ensuring our clients can rely on us for their data processing needs.• Responsible for governance, including SOX, GDPR, CCPA, infrastructure, engineering tools, source data ingestion, and migrating our data platform and all users to Databricks.• Responsible for stakeholder relationship management for all users of the data platform across all functional areas of the company. • As a team, we were responsible for using data to drive positive actions for the company. Our efforts generated $1.5 million in closed-won leads for touch sales, created personalized offers for retention and upsell through the product admin center, and provided account executives with AI-powered sales briefs and account reviews. Guided the organization design and change management of the data platform team. • Developed my team's careers by creating plans, setting goals, and evaluating performance.• Maintained relationships with all data platform users, including sales and marketing analytics teams, product engineering and management, and FP&A and accounting. • Accountable for developing and executing data platform goals and strategy while leading quarterly and annual planning sessions with key stakeholders.• I provided mentorship and guidance to members of the data engineering team.

• Operated as product manager for the Artificial Intelligence/ Machine Learning team and the Corporate KPI data and reporting team. • Designed financial KPI data solution aligned to portfolio wide PE definitions.• Led the relaunch of the Machine Learning team from a data science modeling and support function to prescriptive analytics growth driver. • Managed, Interviewed, onboarded, and mentored junior product managers and analysts in North America and India.• Performed program management functions for the data platform and engineering team, including monthly goal progress reporting and monthly business review deep dives.

• Curated and managed data science and software engineering functions backlog.• Implemented personalized solutions to drive product-led growth, from data to customer action.• Launched models driving upsell using next best product and feature recommendations. • Managed an in product retention save platform delivering personalized discount offers for customers attempting to cancel subscriptions.• Designed and deployed automated fraud detection and de-provisioning model and process.

I led the roadmap creation and development from ideation to launch for V1 of the price transparency tool. I worked with developers, designers, and testers to go from a product wireframe to working websiteI worked with the data engineering team to improve database performance powering our website search function.

• Accountable for data, reporting, and visualization support for Sales users using Domo• Supported the entire business intelligence lifecycle from requirements to data development to visual and reporting development.• Built complex ETL to combine data from multiple sources into a single visualization• Participated in weekly sales pipeline tracking identifying areas for focus

• Managed the change management plan and execution migrating users to a new datawarehouse and Tableau reporting environment. • Responsible for commitments to stakeholders and accountable for the economics of agile project

• Demonstrated the capabilities of the QlikView platform to potential business users and assessed demand for new solution. • Engaged business on behalf of development team for solicitation of requirements. Participated in solution wire frame to translate business need into development requirement. Created testing and implementation plan for application launch. Performed requirement and data exploration. Developed and led training sessions to acclimate users on new user interfaces to increase adoption rate.