Agile Product Management• Support and implement enterprise strategic initiatives in alignment with Marketing and Customer Experience OKR’s• Mature product practices working in an Agile scrum environment to drive outcomes while collaborating with business stakeholders, architecture and technology teams• Optimize product management processes using tools such as Jira, Confluence, Miro and ServiceNow• Provide product leadership and subject matter expertise in Enterprise Martech/CX platforms and data integrations • Create, refine, and prioritize program backlogs and roadmaps• Drive business decisions to optimize products within a portfolio (create and market the Program vision) Business Architecture• Analyze data and advise data architecture decisions to aid platform integrations• Contribute to architecture reviews across enterprise platforms related to Martech and Customer Experience platforms such as Salesforce (Marketing Cloud, CDP, CRM), Qualtrics, BigMarker, Cvent, Snowflake, and AWS• Partner with Solutions Architects to design boundary diagrams and business architecture process flows

Data Science and Analysis• Enhance the MDM business rules for matching/grouping customers into complex hierarchies for use in Sales, Pricing and Marketing systems, such as segmentation, territory alignment, compensation and CRM• Provide Enterprise Data leadership for technical designs of significant customer analysis projects• Serve as an expert in Enterprise data, advising Sales, Marketing and Customer Experience organizations• Provide ad hoc analytical support for stakeholders and leadership using SQL based tools such as SAS and Teradata• Mentor and develop new team members• Simplify and communicate complex big data architecture and modeling issues to key stakeholders and leadership• Lead a global Center of Excellence to inform stakeholders of Customer Definition issues and demand roadmapsAgile Project Management• Product Manager for an IT team responsible for an Enterprise MDM solution, which builds both Enterprise and Sales/Pricing specific customer hierarchies, with over 50 downstream systematic data adopters/stakeholders• Define the vision and roadmap, supporting the translation of business requirements into technology requirements• Communicate the delivery of capabilities to senior leadership• Prioritize multiple dependent workstreams, assessing and recommending requirements needed for impacted systems

Data Science and Analysis• Leveraged 3rd party data, large customer datasets and complex business rules to build sales and pricing hierarchies• Designed KPI metrics and dashboards in Power BI using complex SQL queries• Served as analytical lead for the End-to-End Customer Definition Quality Action Team to assess Enterprise architecture and recommend enhancements to reduce volatility and broken hierarchiesAgile Project Management • Product Manager for multiple teams across two distinct Agile release trains, aligning the vision and timelines for the organizations on both trains and communicating capability roadmaps to senior leadership teams • Product Owner for a business side Agile Kanban team responsible for Sales/Pricing data quality analytics • Served as a cross functional Architect on the Sales and Pricing Large Solution Agile Release Train

Data Science and Analysis • Launched a new matching engine which utilizes algorithms to build and enhance customer matching definitions• Consulted data stewardship teams to help develop and maintain vendor SOPs and training materials• Communicated impacts and assisted in SQL code changes for customers adopting new databasesAgile Project Management • Selected to be the first Product Owner/Manager for a new Agile project management solution for the organization • Established Agile best practices and trained team members on Agile methodology • Worked with Program Managers and leadership to establish PI planning events and Iteration demos

Data Science and Analysis• Wrote SQL queries for customer focused research and analysis to support Enterprise customer MDM projects• Wrote and tested business rules for customer data projects and customer matching models• Utilized matching algorithms to produce customer overlap reports for new integrations• Led a data stewardship proof of concept to test new methods and opportunities

Marketing Analysis• Analyzed customer purchasing behavior to develop a commercial customer segmentation model• Developed periodic commercial promotional/sales contest dashboards • Performed pre-promotion analysis to determine goals and financial break evens; conducted post promotion reporting• Performed market potential analysis and calculated hurdle rates for new retail and commercial stores

Customer Relationship Management (CRM)• Analyzed data to highlight prospects with the most likelihood of being high volume customers• Worked on a team to optimize and configure the Microsoft Dynamics CRM tool• Developed a strategy based on purchasing behavior, sales volume, pricing plans to target customers for sales visits

Sales Reporting and Analysis• Developed automated operational analysis, reporting and commercial KPI’s for leadership meetings• Provided daily ad hoc reporting for field support and strategic commercial initiatives (SQL, SAS based reporting)• Forecasted commercial sales and gross margin targets for compensation and financial planning

Modeled client portfolios based on risk assessments and financial goalsResearched financial product related questions for field based brokerage services