Scott Stark
Verified Expert in Product Management
Product Manager
Davidson, NC, United States
Toptal member since May 5, 2025
Scott is a strategic, results-oriented analytics lead with 15 years of experience using data to improve business performance. He has a unique blend of business strategy experience, technical expertise, and analytics horsepower. By quickly understanding a business's strategic and operational challenges and focusing analytics teams on the most valuable outcomes, Scott helps companies turn data assets into actionable insights.
Project Highlights
Expertise
- Business Analytics
- Competition Research
- Competitive Intelligence
- Customer Segmentation
- Data Analytics
- Predictive Analytics
- Product Analytics
- Product Strategy
Work Experience
Director, Business Analytics
Toptal
- Conducted in-depth analysis of product data to improve customer experience and optimize internal processes, boosting on-time availability from 56% to 92% and customer conversion rate from 45% to 58%.
- Reduced annual operating costs by 2% by leading the creation of financial allocation and staffing capacity frameworks and models for staffing optimization, as well as talent and customer segmentation.
- Leveraged Agile methodologies to improve the time to value of analytics projects by two to five times.
- Headed teams of business analysts, BI developers, and data engineers to deliver analysis and insights for multiple business functions, including sales, talent operations, finance, and people.
- Built trusted relationships with senior executives, improving the adoption of analytics solutions.
Principal Consultant
LeadingAgile
- Rebuilt a sales pipeline management process to improve visibility and speed-to-close rate.
- Participated in the full sales process lifecycle for new clients, including prospecting, pre-sales research, sales calls, and contract development.
- Delivered consulting engagements for clients, focusing on enterprise-wide workflow management.
Director, Head of BI & Advanced Analytics
Weisiger Group
- Oversaw the development of a centralized analytics platform that supported three business units, delivering actionable insights that improved service offerings and customer experiences.
- Managed $1.5 million in external spend on technology and consulting suppliers.
- Streamlined BI delivery by adopting an Agile process, improving analytics output by five times.
Senior Manager, Intelligent Services
Trane Technologies
- Oversaw product management for a custom diagnostic software product that used complex logic and data to diagnose and recommend repairs for transport refrigeration systems.
- Launched a data service that cut 7-14 days from the product quality process, enhancing the customer experience and time to market.
- Improved data quality and availability from 25% to over 90%.
- Drove market-changing, analytics-driven diagnostic product innovation that reduced diagnosis time for a system-critical component from hours to seconds.
- Spearheaded a team of eight data scientists, product managers, and data engineers. Managed multiple external relationships that delivered software development and predictive analytics capabilities.
Manager, Strategy & Analytics
Trane Technologies
- Drove data-driven product strategy initiatives that led to dramatic increases in market share from 52% to 60% in a North American product and 28% to 34% in an EMEA product.
- Partnered with the business unit president and senior leadership team to create a 3-year strategy for a $1 billion business unit.
- Improved decision-making by delivering high-impact insights and customer segmentations for product management teams, reducing market research costs by 40% while maintaining quality through in-sourcing.
- Produced strategic white papers for the board of directors in partnership with business line presidents.
Senior Manager, Advanced Analytics and Modeling
Ally
- Improved the accuracy of deposit forecasting models by 20% through enhanced feature engineering.
- Created the company's 1st customer attrition model to predict churn and inform retention strategies.
- Managed a government-mandated stress test process for forecasting models, ensuring approval by regulators.
Principal Consultant
Midtown Consulting Group
- Co-founded this management consulting firm with two other partners. Grew revenue from nothing to $2.5 million in 18 months, acting as the chief marketing officer.
- Led the integration of a newly acquired technology company for the services division of a Fortune 500 company. Conducted market-sizing to determine the total addressable market for the company's services and built financial models.
- Conducted a strategic market assessment for a new food traceability software solution for the services division of a Fortune 500 company. Identified market opportunity and recommended a go-to-market strategy.
- Started the company's BI and Analytics practice area, onboarding 1st customers and employees.
Manager, Mortgage Pricing Optimization
Bank of America
- Improved the annual contribution margin by $50 million annually through pricing and capacity modeling.
- Promoted to lead a team of five after 12 months. Rated in the top 10% of peers in every review cycle.
- Headed the review of software partners to integrate the latest optimization technology into the analytics process.
Manager, Business Strategy & Analytics
Ahold Delhaize
- Partnered with the category manager and merchandising lead to develop a product recommendation engine that increased sales by $1 million annually in a single merchandising location.
- Developed a method for identifying optimal inventory at the store level, resulting in a 10% reduction in company-wide inventory.
- Partnered with regional VPs to build integrated reporting that was used to understand the performance of districts and individual store locations.
Project History
Sales Agent Availability and Conversion
Partnered with operations, product, and data engineering and improved a critical performance KPI—agent availability—from 58% to 92% through product enhancements and customer experience changes.
A critical KPI in this top-of-funnel process step is availability—the hours between when a customer attempts to schedule the meeting and when a person is available. Using a specified time SLA, performance was in the mid-50% range. Our task was to improve performance to drive higher conversion rates.
The solution required three key elements:
• Customer segmentation: Identifying customers who need and respond to immediate availability.
• Product and data engineering engagement: Prioritizing new product features and building the data pipeline.
• Monitoring feature performance and continuous improvement.
As a result of the project, availability for high-value customers who required availability on short SLAs ranged from mid-50s to mid-90s percent.
Data Product for a Equipment Rental Business
Headed the design and development of a BI-based data product that identified $5 million in rental income opportunity from underutilized assets.
As the lead of the internal analytics team, I worked with rental business leads to understand the rental process and levers of profitability. Using that information, I designed a BI-based approach to consolidating their data. My team then created the data pipeline and dashboards using an iterative, Agile-based approach to deliver value quickly and gain incremental feedback on priorities.
While building the infrastructure, I also conducted an exploratory analysis on the levers of profitability. Based on this analysis, I found equipment that had effectively "disappeared" from inventory due to improper data mapping to the process. By including an updated mapping in our data pipelines, I could immediately increase the rental business's revenue capacity by $5 million.
Product Analytics to Improve Profitability
Utilized early-funnel product interaction data to route 40% of customers to a low-cost service channel with limited impact to overall profitability.
To do this, my team and I:
• Profiled our customers into groups based on the LTV.
• Used product data about the customers' attributes and behaviors to create a model for the predicted LTV.
• Partnered with the product team to integrate the model into early-funnel product features to route low-LTV customers to a low-cost, self-service channel.
As a result, 40% of initial customers shifted to the low-cost model, dramatically improving overall profitability with negligible impact.
Education
Master of Science Degree in Analytics
North Carolina State University - Raleigh, NC, USA
Master's Degree in Business Administration (MBA)
University of North Carolina at Chapel Hill - Chapel Hill, NC, USA
Bachelor's Degree in Industrial Engineering
Georgia Institute of Technology - Atlanta, GA, USA
Skills
Tools
Tableau, ETL, SAS, Slack
Paradigms
Agile, Data Product Management
Other
Predictive Analytics, Predictive Modeling, Data, Data Analysis, Data Analytics, Customer Segmentation, Business Analytics, Applied Statistics, Statistics, Business Analysis, Statistical Data Analysis, Statistical Modeling, Stakeholder Management, Stakeholder Engagement, BI Reports, Data Science, Agile Sprints, Forecasting, Big Data, Market Segmentation, Data Structures, A/B Testing, Product Analytics, Strategy, Business Logic, Competitive Strategy, Competitive Intelligence, Competition Research, Business Process Analysis, Manufacturing, Consulting, DataOps, DataViz, Business Intelligence (BI) Platforms, Business Intelligence (BI), SQL, JMP, Management Consulting, Data Engineering, Data Product Manager, Financial Modeling, Product Management, Data Strategy, Product Strategy, B2B, Finance, Entrepreneurship, Entrepreneurial Finance, Financial Planning & Analysis (FP&A), Business Process Modeling, HR Analytics, Agile Transformation, Transformational Leadership, Snowflake, Data Modeling, Amazon Redshift, Amazon S3 (AWS S3), Business Strategy, Market Research & Analysis, Executive Presentations, Workshop Facilitation, Structured Facilitation, Mergers & Acquisitions (M&A), Risk Modeling, Senior Executive Management, Business Partnerships, Revenue Optimization, Pricing, Performance Metrics, Key Performance Indicators (KPIs), Data Reporting, Market Sizing, Google Cloud
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