Ravi Kiran Yanamandra

Product Manager

Bengaluru, Karnataka, India20 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Proven track record in designing measurement frameworks.
  • Led multi-disciplinary teams of over 50 data professionals.
  • Implemented machine learning solutions generating $4M in revenue.
Stackforce AI infers this person is a data-driven leader in SaaS and analytics, specializing in machine learning and business intelligence.

Contact

Skills

Core Skills

Business Intelligence (bi)Data GovernanceMachine Learning

Other Skills

Analytics EngineeringSelf-Service AnalyticsLookerdbtBigQueryAirflowPython (Programming Language)Data StorytellingSQLTableauData Build Tool (DBT)Strategic VisionOrganizational EffectivenessEmbedded SystemsC

About

I am a business-first data and analytics leader who builds the decision systems that shape how organizations grow, operate, and compete. With over 20 years of experience, my focus has shifted from managing data to delivering data products—turning raw complexity into operating leverage that drives better choices, faster. Throughout my career, including my current leadership at Confluent and my tenure as Director at Epsilon, I have specialized in partnering with executive leadership across Product, GTM, and Finance to define company-wide metrics and decision frameworks. I don’t just build dashboards; I build the governance, quality standards, and platforms required for analytics to be a shared, trusted language across the organization. What I bring to a leadership team: Ownership of Key SaaS Metrics: I have a proven track record of designing and launching comprehensive measurement frameworks for ARR, MRR, and Sales performance, providing a single source of truth for executive decision-making. Builder of Systems & Processes: I specialize in transforming fragmented reporting into centralized, high-efficiency models. I have successfully reduced reporting errors by 50% and consolidated disparate reporting by 20% through standardized BI lifecycles and agile methodologies. Scale & Team Leadership: I have built and led multi-disciplinary teams of over 50 Data Scientists, Engineers, and Analysts, fostering a high-performance culture that balances technical excellence with business accountability. Outcomes-Driven Innovation: I apply machine learning and AI in pragmatic, business-driven ways—from building a Recommender System that generated $4M in annual revenue to automating processes that reduced manual effort by 40%. Key Strategic Impact: Revenue & Growth: Developed customer targeting solutions and marketing analytics frameworks that drove a 25% increase in marketing ROI and improved customer retention by 15%. Platform Transformation: Successfully led the data testing for complex billing software migrations (Metronome) and spearheaded the data-driven product strategy for Confluent’s Flink offering. Operational Efficiency: Leveraged analytics to improve customer experience touch-points, resulting in over $1.4M in annual cost savings for major fintech partners. I operate best in leadership roles where data products and AI are expected to directly influence revenue strategy and long-term business outcomes, and where leaders are held accountable not just for insights, but for measurable impact.

Experience

20 yrs 3 mos
Total Experience
3 yrs 4 mos
Average Tenure
3 yrs 10 mos
Current Experience

Confluent

2 roles

Senior Manager, Data Science & Analytics

Promoted

Mar 2025Present · 1 yr 3 mos

  • Senior Manager in B2B Analytics with expertise in BI, analytics engineering, and modern analytics stacks at Confluent. Drives data governance, scalable pipelines, and self-service analytics for GTM, Finance, and Product teams using Looker, dbt, BigQuery, and Airflow. Passionate about real-time data modernization and cross-functional impact in high-growth SaaS environments.
Business Intelligence (BI)Data GovernanceAnalytics EngineeringSelf-Service AnalyticsLookerdbt+2

Data Science Manager, GTM

Aug 2022Mar 2025 · 2 yrs 7 mos

  • As the Data Science Manager for Go-To-Market (GTM) at Confluent, I lead a team of data scientists focused on driving actionable insights from complex data to optimize sales, marketing, and customer engagement strategies. My responsibilities include developing advanced analytics models, leveraging machine learning to forecast trends, and enabling data-driven decision-making across GTM functions. I collaborate closely with cross-functional teams to translate business challenges into analytical solutions, ensuring that data science initiatives directly contribute to revenue growth, customer success, and operational efficiency.
Machine LearningBusiness Intelligence (BI)Python (Programming Language)Data StorytellingSQLTableau+2

Epsilon

3 roles

Director Data Science

Promoted

Apr 2022Aug 2022 · 4 mos

  • In this role I lead the entire India analytics organization for Automotive vertical. This role includes:
  • > Analytics: Driving superior analytics for OEMs and Dealerships
  • > Data Science function that drives impact using ML and Predictive modelling
  • > Data Engineering function that enables data infrastructure for 13 OEMs across North American geography.
Machine LearningStrategic VisionBusiness Intelligence (BI)Python (Programming Language)Organizational EffectivenessData Storytelling+1

Staff Data Scientist

Apr 2019Mar 2022 · 2 yrs 11 mos

Data Science Manager

Jul 2016Mar 2019 · 2 yrs 8 mos

  • Driving advanced analytics projects to solve marketing problems such as customer segmentation, product recommendation, customer propensity.
Machine LearningBusiness Intelligence (BI)Python (Programming Language)Data StorytellingSQL

Genpact

2 roles

Senior Manager Analytics

Promoted

Apr 2015Jul 2016 · 1 yr 3 mos

  • Contact center analytics, Customer Experience management analytics, Project execution and consulting.
  • Built Machine Learning and Analytical solutions for driving improved customer experience on digital channels and enabling call resolution with self-service solutions.
  • Led analytics engagement for a major fintech, to improve user experience at customer care touch-points of IVR, Contact center and Mobile app. Automated a larger part of campaign management process to save cost of $ 1.4 million
  • Improved incremental sales by 1.2X by re-defining customer behavioral segmentation and applying multivariate testing to test out the best offers and customer preferences.
  • Created analytics backed customer experience strategies which lead in 25% improvement in cost efficiency of a South Africa based Telecommunications major.
Machine LearningBusiness Intelligence (BI)Data StorytellingSQL

Manager Analytics

May 2011Mar 2015 · 3 yrs 10 mos

  • Customer service analytics, Customer Experience Management in Telecommunications and financial services domain
  • Instrumental in delivering high impact analytics projects and client management in North America, South Africa and Australia markets
  • Analysed 50 million customer call data records per month data for gleaning insights resulting in $1.2 M cost saving
  • For an eCommerce client, developed Customer Lifetime Value solutions using transactional data to target high value customers. This initiative led to an increase of 30% in revenue from the High value segment during the campaign.
  • Developed machine learning models to predict customer churn using algorithms such as Logistic Regression and Random Forest.
Machine LearningBusiness Intelligence (BI)Data StorytellingSQL

Mu sigma

Senior Business Analyst

May 2010Apr 2011 · 11 mos · Bengaluru Area, India

  • B2B sales and marketing analytics for a large hi-tech retailer
  • Developed array of models for a hitech-retail client including, Acquisition, Cross-sell, Attrition and Response modeling
  • Built Market mix models to allocate media spend. Used third-party firmographic databases to feature engineer buyer behavior.
  • Built a logistic regression model to solve customer churn problems and segmented customers for creating personas using K-means clustering algorithms. Segmentation was based on Lifestage, RFM, Behavioral, Attitudinal, Value, Channel and Affinity.
  • Created client ready presentations for updates on quarterly progress of business across metrics like customer growth, retention, attrition and marketing impressions.
  • Developed executive dashboards for marketing campaigns using Tableau and Excel VBA
Business Intelligence (BI)Data StorytellingSQL

Renault nissan technology & business centre india

Senior Software Engineer

Jan 2009Apr 2009 · 3 mos · Chennai, Tamil Nadu, India

  • Executed Hardware-in-loop testing projects for Renault
  • Developed software modules using Matlab and C programming to improve engine performance

Delphi automotive systems

Software Engineer

Sep 2006Jan 2009 · 2 yrs 4 mos

  • Design and test automotive software modules. Autocoding using dSpace TargetLink, Matlab, Simulink. Working knowledge of C language, Embedded C and CAN protocol. Code coverage analysis using IBM RTRT tool. Design code using Floating point math concepts.

Satyam computers

Embedded Systems Engineer

Jun 2004Aug 2006 · 2 yrs 2 mos · Bengaluru Area, India and Hyderabad

  • Developed automotive engine management software using Embedded C. Project owner of FMEA testing of power steering module.

Bhabha atomic research centre

Engineer Intern

Apr 2003May 2003 · 1 mo · Mumbai, Maharashtra, India

  • Analysis of electronic circuits in Thermoluminescent dosimeter readers

Education

National Institute of Technology Durgapur

Bachelors in Engineering

Great Lakes Institute of Management

Post-Graduate Programme in Management

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