SUMANTH APPALAKUTTI
San Francisco Bay Area,CA
Summary
Analytics and Commercial Strategy Leader experienced in leveraging data and technology to enhance pricing, revenue, and sales performance. Managed a 10-person analytics team, influencing bid accuracy in 75% of RFPs while driving strategic decision-making across Pricing, Sales, Marketing, Operations, Finance, and Technology. Developed scalable pricing frameworks and AI products that improved operational efficiency and organizational scalability.
Overview
2
2
years of post-secondary education
8
8
years of professional experience
Work History
Senior Manager, Data Analytics
JLL
San Francisco Bay Area, CA
06.2025 - Current
- Lead a 10-person analytics organization comprising 8 Analytics Engineers and 2 BI Developers, overseeing analytics engineering, BI, data products, and strategic analytical initiatives supporting commercial and enterprise decision-making.
- Led development of a scalable pricing and staffing benchmark framework that replaced legacy square-footage and service-based gearing ratios with a data-driven methodology incorporating site characteristics, comparable locations, current staffing, utilization, service requirements, and staffing mix.
- Influences the final bid in ~75% of RFPs by identifying where proposed staffing assumptions differ from evidence-based benchmarks, enabling Pricing and Bid teams to establish more accurate cost and pricing assumptions before submission.
- Improved commercial risk assessment by identifying staffing assumptions associated with potential $10K–$50K contractual loss exposure in ~20% of RFPs, helping teams assess economic viability before committing to a bid.
- Reduced staffing evaluation time from weeks to days, transforming a manual process into a repeatable commercial decision-support capability.
- Developed analytical frameworks for revenue optimization, pricing benchmarks, sales analytics, and scenario modeling, translating operational data into actionable recommendations for commercial stakeholders.
- Led development of an AI-enabled RFP document-extraction application using Databricks, Unity Catalog, and Genie; initial POC supports approximately 10–15 EMEA users, with a roadmap toward 60–70 global users, creating an internal build-vs-buy alternative for a recurring analytical workflow.
- Own the analytics-engineering roadmap and technical direction across Databricks SQL, reusable analytical models, metric definitions, semantic layers, BI, and data products.
- Partner with VP and C-suite stakeholders to frame ambiguous business problems, prioritize analytical investments, and translate complex analysis into strategic business decisions.
Manager, Analytics
JLL
San Francisco Bay Area, CA
10.2021 - 06.2025
- Managed team of 3 analysts supporting marketing and sales operations, delivering analytics on conversion, targeting, and commercial performance to drive strategic decisions.
- Partnered with Marketing and Sales Operations to improve targeting, conversion performance, and win rates, translating customer and pipeline data into actionable commercial recommendations.
- Built a ground-up marketing investment framework linking performance KPIs—including deal size, conversion rates, and downstream business outcomes—to marketing investment decisions; framework was used by the Marketing leader to support and sustain the marketing budget.
- Developed analytical frameworks and reporting capabilities linking marketing activity to business outcomes, empowering leadership to evaluate investments through performance-based metrics.
- Led analytics delivery through budget reductions and organizational restructuring, subsequently transitioning the team and analytical support to a different business line while maintaining continuity of critical business insights.
Senior Analyst, Analytics
JLL
San Francisco Bay Area, CA
08.2019 - 10.2021
- Developed consolidated analytical view of customer and opportunity data, enhancing cross-platform reporting consistency and visibility into commercial activity.
- Led CRM data consolidation across multiple Salesforce instances and 9 Microsoft Dynamics 365 instances, developing unified data objects for contacts, opportunities, and accounts across platforms.
- Established foundational data capabilities that facilitated broader CRM consolidation, supporting organization’s transition away from Dynamics 365.
Analyst
JLL
Chicago, Illinois
08.2018 - 08.2019
- Delivered analytical reports and business insights that informed commercial and operational decision-making.
- Developed expertise in business analytics, data modeling, and reporting while engaging with cross-functional stakeholders.
Education
Master of Science - Business Analytics
The University of Texas At Dallas
Richardson, TX 08.2016 - 08.2018
Skills
- Pricing & Commercial Analytics
- Pricing Strategy
- Revenue Optimization
- Sales and Marketing Analytics
- Scenario Modeling
- Executive Decision Support
- Analytics Strategy
- Data Products
- Predictive Analytics
- Data Visualization
- Data visualization
- BI
- Databricks
- SQL
- Power BI
- Microsoft Dynamics 365
- Eloqua
- Customer Segmentation
Selected Leadership Impact
- Build analytical frameworks connecting operational drivers to pricing and investment decisions.
- Lead a multidisciplinary organization spanning Analytics Engineering and BI.
- Turn recurring analytical problems into scalable data products and AI-enabled workflows.
- Partner with senior leadership to frame ambiguous business problems and drive strategic decisions.
Core Expertise
- Build analytical frameworks connecting operational drivers to pricing and investment decisions.
- Lead a multidisciplinary organization spanning Analytics Engineering and BI.
- Turn recurring analytical problems into scalable data products and AI-enabled workflows.
- Partner with senior leadership to frame ambiguous business problems and drive strategic decisions.
Timeline
Senior Manager, Data Analytics
JLL
06.2025 - Current
Manager, Analytics
JLL
10.2021 - 06.2025
Senior Analyst, Analytics
JLL
08.2019 - 10.2021
Analyst
JLL
08.2018 - 08.2019
Master of Science - Business Analytics
The University of Texas At Dallas
08.2016 - 08.2018