Managed a team of 4 analysts and played a major role in shaping the function and future of the broaderData & Analytics organization. Fully responsible for Product analytics: established deep relationships with Product leaders, implemented analytical best practices operationally, and strategized data roadmap while continuing to support day to day needs. Promoting a data driven culture across the organization, helping justify the establishment of Data Governance to educational talk series on Machine Learning. Heavily involved with the structure, hiring, and staffing of D&A organization for operational excellence.

Lead Program Manager and Senior Analytics Consultant for key strategic business initiatives and analytics projects. Working with leadership to help drive a digital transformation across the Finance organization, overhauling dashboard and reporting, moving from Excel and PowerPoint into dynamic reporting and advanced data visualization. Partnering with the Technology and Data organizations to solve key challenges, revise business practices, and drive a sense of urgency for actionable results. Within the first six months of this role, took over formal program management for C-level strategic project involving a team of ~20 cross-functional members in Finance, Data Science, Reporting, and IT. Responsibilities included overhauling the entire program management and reporting structure, evaluating program goals and deliverables, developing a new roadmap, and re-aligning senior management expectations. Immediate benefits were realized at all levels: significant increasing team efficiency roughly 20% through better communication channels, Senior Management knowledge of project flipped from constant concern to well informed, and most prominently the program no longer missed key milestones and deliverables in the immediate months after being chronically late previous several months.

Data visionary and responsible for creating the framework for Carbonite’s first Enterprise Data / Data Office. The group’s mission is to lay the foundations for enterprise data governance, introduce source to reporting data quality improvements, and promote the advancement of a data driven culture across the enterprise. These responsibilities were in addition to Managing the Advanced Analytics team.

Managed a team of data scientist with a wide-ranging skill set. This team is an internal consulting team for the entire enterprise. Responsibilities include working closely with various teams to identify critical business questions and formulate them into analytical questions; managing projects workflows for the team; communicating results and deliverable to non-technical audiences. Worked closely with management for budgeting and hiring decisions across the broader team.

Founding member of Advanced Analytics team; responsible for bringing a new level of business insight that was out of reach before. Involved in extensive overhaul of the analytical capabilities across the company, instilling a higher level of confidence in reporting and analysis. Work closely with Business Intelligence and Big Data Infrastructure, providing feedback, recommendations, and improvements to unlock new insights quickly and efficiently. Trained the entire analytics department in Tableau. Advise our customers how to formulate hypotheses, test, and analyze the results with predefined, easy to understand, actionable metrics. We continue to bring new “big data” capabilities from modeling, customer segmentation, network analysis, streaming analysis, machine learning, and data mining to name a few. Responsibilities have expanded to include leading high-profile analysis projects, being tapped to answer business questions that have eluded others. Single handedly built the team’s Azure analytical environment, including machine learning studio.

Responsible for laying the foundational technology and analytical systems. Major projects include an end to end evaluation, redesign, and overhaul of backend systems – unlocking significant cost savings while supporting surging growth simultaneously. Designing, engineering, and launching data analysis systems, including an early iteration of a data warehouse, and spearheaded deep data analysis to immediately unlock business value and impact key business decisions. Establishing the framework and data model of The Foodery’s marketing platform for a fully scalable backend infrastructure. Vendor and new hire screening in regards to anything impacting their technology and marketing systems.

Founding member of the Digital Analytics team responsible for providing analytical insight for multiple Warner Brother's Digital Games. Work experience covered a wide breath of topics including: data mining player behavior; text mining for player sentiment; introduction, development, and peer review of predictive models; research, design, and assistance in building an analytical platform; creation of a user test lab - designing user tests and analysis; managing, designing, and analyzing customer surveys; development, review, and consultation for data models to unlock meaningful metrics and support deeper analytical investigations; development of highly informative dashboards monitoring engagement, monetization, acquisition, and retention.

Managing a small group of members within the Advance Analytics Team. Responsible for developing innovative applications and proprietary research for the Property and Casualty (P&C) division (commercial and personal lines) and Life division. Work includes utilizing variety of cutting edge techniques across a variety of projects including web analytics, telematics, and data mining. Providing high quality analysis and review documents for senior business leaders.