Accomplished leader recognized for leveraging strong team leadership and development to drive forward progress. Highly organized, detail-oriented leader skilled in directing high-performing teams to develop solutions and solve operational and technical problems. Success implementing systems across multiple operations with superior organizational and communication skills.
Work History
Head of Data Analytics and RPA
Crown Castle
Remote
07.2018 - Current
Responsible for Data, Analytics and RPA product and technology at the Enterprise level. Crown acquired Fiber and Small Cell companies over the course to expand customer base from Big 4 Wireless to small vertical customer base. The analytics need expanded exponentially. Crown expanded analytics and data science scope to cover all aspects of customer acquisition to delighting customers. Analytics team’s role expanded for strategy and operational aspects across the entire value-chain.
Leading a global team of data analysts, data scientists, data engineers, business analysts and data visualization specialists.
Driving business strategy with data-driven insights derived techniques ranging from ad-hoc reporting to advanced customer 360 analytics.
Managing the data and reporting ecosystem to support Tower, Small Cell and Fiber operations that completes ~25000 decisions per month and across 10k applications per month.
Managing data integrity team and data certification process for Crown Enterprise, as part of firm-wide data governance program.
Increasing revenue by supporting indirect channel to cross-sell additional products and services to new vertical customers and retain high lifetime value customers.
Working on Next-Best-cell-site capability to optimize the customer experience across all interaction channels; direct and indirect.
Founding member of the firms Big Data Science and Analytics team setup to commercialize prescriptive data analysis and explore advanced technologies such as; Snowflake, AWS Azure Analytics platforms and other analytical tools.
Identified $20mm in cost savings by focusing on high lifetime value customer
Led a cross-LOB team to develop a cross-channel customer experience analytics platform with advanced life-time value based segmentation to optimize sales operations.
Developer enterprise data model, certification and cleansing processes.
Led cross-functional team of data owner, steward, and data managers to define data: dictionary, security, and purging processes and technology solutions.
Sr. Manager, Analytics, Data Warehouse and Mgmt.
American Tower Corporation
Boston
09.2014 - 07.2018
American Tower was rapidly growing, but didn’t have cohesive Business Analytics and data warehouse strategy. Data Quality was a big issue. The team was challenged to create Data Management Framework for FP&A and operational reporting, and establish self-serving Business Intelligence platform.
Simultaneously managed large initiatives in Marketing Analytics, Business Intelligence, Profitability, and Customer Relationship management, across Innovation & Sales divisions.
Increased revenues with personalized marketing campaigns for individual clients using predictive analytics. Platform designed to deliver real-time site recommendations
Led the creation of the analytics team; Hired scientists and data engineers to develop a library of predictive analytic models that; generate site recommendations, optimize app to air process, predict and improve marketing campaign effectiveness.
Managed a multi-skilled team of Morgan Stanley business and technology employees and partner vendors such as IBM and Salesforce.com to deliver a marketing platform that supports real-time resource allocation and targeted marketing.
Built decision support system to provide data, capture insights, and deliver performance metrics that combine financial objectives with customer, process and employee perspectives.
Centralized the business intelligence ecosystem from diverse data silos into a unified data warehouse.
Established a data integrity team to manage and measure the quality of all data assets.
Created tools that were embedded into Sales Force from OBIEE suite and ESRI to support growing Customer and Crown Assets and Portfolio information for our Sales team
Transition and transform - Transitioned front-office ERP and associated business processes to the latest version of ERP, a multi-million $$ investment, and then undertook transformation initiatives on the front-office side. This upgrade previously failed, so I was one of the leader chosen to lead the upgrade.
Enterprise Product and Technology Management
Xerox Corporation
Rochester
10.1993 - 09.2014
Proactively identify opportunities for innovation through industry research and end user learnings to drive result
Work with the internal business leads and external account manager to ensure client feedback sessions are incorporated into planning and execution. Managed process to collect client feedback and industry needs to incorporate into product roadmap
Developed outsourcing model based on strategic relevance and customer involvement. Reduced costs and increase efficiency with outsourcing & offshoring.
Established PMO office to drive project delivery at an enterprise level – innovative factory model that would deliver 2-3 new projects
Designed data mining technology by streaming data from payment card processing proprietary system to provide real-time fraud analytics.
Built grounds up Bi and Analytics platform at the enterprise level – supporting 135K users across Xerox’s entire value-chain and supporting $400M incremental analytical services revenue
Build and leverage deep business domain expertise, product and services, and technical and process knowledge to translate business opportunities into strategic roadmap, business case requirements, and insights, including long-term vision, for the end-to-end service delivery
Established and maintained relationships with C-level executives across the vertical industries
Exceeded revenue plan for all eight years as a product manager – the final year plan was $40M for the segment
Founding Member of a University Start up
NMRi
Syracuse
Statistical analysis of MRI image - transformed machine scan data into image along with statistics for quick analysis
Translated research findings from Ph.D. students into software features in order to maintain competitive edge.
About $6M in annual revenue with 40 full-time employees in 3 yrs
Education
Data Science -
Harvard University
Cambridge, MA
2024
MBA - Finance And Marketing
University of Rochester
Rochester, NY
1997
Computer Engineering
Syracuse University
Syracuse, NY
1991
Skills
Accountability and Adaptability
Collaboration and Teamwork
Communication skills
Problem-solving and Conflict resolution
Innovation, Creativity and Critical thinking
Emotional intelligence and Empathy
AI/ML and Statistical modeling
Programming languages (Python and R)
Data visualization and analysis – Power BI and Tableau