Data and Analytics focused PMM.Built a behavioral-analytics marketing segmentation program utilizing energy, application usage, and Salesforce data. Executed a campaign that increased engagement by over 60%.Led and managed a cross-functional overhaul of user-analytics program, resulting in an 80% quicker time to value and revenue recognition. Executed a proof-of-concept in Excel, then Tableau, and eventually oversaw external vendor evaluation for reporting dashboards. Reported to executive team and board of directors.Ran multi-year lunch-and-learn series, highlighting big data projects to foster and grow data-culture at EnerNOC.Consulted on product launches with data-driven segmentation of over 30,000 users to identify target customers for specific features, enabling delivery of relevant and timely marketing messages.Developed a marketing content program, ranging from sales play-books and internal messaging, to public facing case studies to articulate the value of EnerNOC’s SaaS solution. Content featured in executive communications, industry publications, and investor and analyst reports.

As a small team, we provided the following services to our customers: CSM / Energy Analyst / Energy Advisor / Sustainability Analyst.Developed deep understanding of client needs. Created proof-of-concept forecasting and analytics tools using Python, R, and Excel in support of those needs. Worked with Product to collect customer feedback and influence analytics product roadmap.Analyzed and forecasted energy consumption data in support of strategic sales team. Demonstrated data-driven ROI narratives to prospective customers, enabling sales team to build custom solutions.Managed full cycle customer relationships with clients including BAE Systems, State of Massachusetts, and Blackstone Group. Achieved up-sell at 12 strategic accounts.

Supported settlement with grid and utilities, through analytics, enabling revenue recognition on >$100M in yearly assets. Worked as subject matter expert on high value assets.Mapped and improved processes to increase revenue predictability.