Sivakumar Padmanabhan Email and Phone Number
As a forward-thinking leader in Data, Data Science & Analytics, I am instrumental in driving revenue growth, with a proven track record of successfully transforming complex, large-scale organizations to improve scale and efficiency while spearheading cost-saving initiatives. I am recognized for building scalable data platforms and specialize in generating high-value insights, cultivating a culture of data-driven decision-making throughout the business. Thriving at the intersection of business, technology, and analytics, I leverage my technical expertise and business acumen to establish strong credibility with the C-suite. AWS | GCP | Azure | Kafka | Spark | Hadoop | BigQuery | Snowflake | Redshift | Teradata | Databricks | Presto | TensorFlow | Sagemaker | Airflow | Python | DBT | Microservices | API | Informatica | Fivetran | Oracle | PostgreSQL | SQL | NoSQL | R | MicroStrategy | Power BI | Tableau WHAT DO I BRING?⭐️ Collaborated with C-level executives to align with business objectives, formulation, and execution of a cloud data strategy, built a world class data & analytics team, orchestrated cloud migration, and spearheaded the modernization of both data and applications.⭐️ Crafted data and technology architectures. Delivered scalable data and analytics platform, and technical solutions supporting AI/ML Ops, business intelligence, and data-driven SaaS products. Led data governance, data catalog, data lineage, data quality.⭐️ Championed AI, ML algorithms and models for fraud prevention, prediction of SaaS usage, upsell, customer churn, A/B testing, multi-variate testing, and experimentation.⭐️ Statistical Analysis to drive business growth by analyzing trends, customer behaviors, product feature usage, market trends, offers and pricing strategy. ⭐️ Domain based data marts, self-service analytics, data services, API & MicroservicesKEY ACCOMPLISHMENTS: ✔ Increased scalability and reliability of the data platform and improved data-driven decision-making related to product, go-to-market strategy, marketing campaigns, sales funnel, customer experience, and financial performance across the company.✔ Elevated the adoption of data analytics by implementing self-service capabilities, streamlining key performance indicators (KPIs), resulting in a fivefold increase in usage.✔ Increased agility, reduced cost by saving $10M YoY, accelerated the time to market by 3x✔ Increased revenue by $300M by implementing predictive models for SaaS consumption prediction, revenue prediction, marketing campaign optimizations, upsell and cross-sell.
Its Logistics
View- Website:
- its4logistics.com
- Employees:
- 876
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Head Of Data And AiIts LogisticsCalifornia, United States
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Director, Data, Ai And Advanced AnalyticsIts Logistics Oct 2024 - PresentSan Francisco Bay AreaStakeholder ManagementBusiness GrowthData & AI StrategyData Architecture and Data EngineeringData Lake and Data WarehouseBI DashboardsAI & ML Data GovernanceData QualityBuild Talent
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Senior Director, Data Engineering And AnalyticsAppen Mar 2021 - Oct 2024Sunnyvale, California, United StatesLeading the Data, Analytics and Data Governance organization, enabling data-driven decisions , applying AI & machine learning to accelerate growth for all business functions across the company, improve customer experience, increase margin, improve data quality, data privacy & compliance, and build innovative products⭐️ Collaborated with C-level executives on business goals, led teams, drove the strategy for data platform, master data, creation of data architecture, technology architecture to provide technical solutions and infrastructure that enable Business Operations, AI/ML Ops, data science, and data-driven SaaS products. ✔ Increased scalability and reliability of the data platform and improved data-driven decision-making related to product, go-to-market (GTM) strategy, customer experience, and financial performance across the company.⭐️ Drove global teams and built the cloud data platform acquiring data from SaaS product data, various business applications, including Salesforce, ERP, Financials, Marketo, and Workday, and created internal tools for dataset management, business analytics dashboards & self service for Product, Engineering, Data Science, , Marketing,GTM, Sales, R&D, RevOps, Finance, Operations, Customer Success, Legal, and Trust & Safety.✔ Achieved 20% growth in revenue and gained insights into leaders for strategic decision-making.⭐️ Implemented domain based data marts, data sets, standardized dashboards, reports, data lineage, data encryption, granular security model , data quality, and auditability✔ Increased data and analytics use 10x across the company by self-service and simplified KPIs & dashboards. ⭐️ Mentored the team to build solution design, develop, and implement streaming for billions of daily events, data curation, data integration, data pipelines, metrics, integrity, and ETL/ELT processes.✔ Met business SLAs to drive business-critical data-driven decisions by delivering the correct data at the right time. -
Director, Data Engineering And AnalyticsCisco Systems Jun 2016 - Feb 2021United StatesPartnered cross-functionally with C-level executives to align strategic visions, roadmaps, and investments with enterprise goals. Drove enterprise hybrid cloud data strategy and enabled data-driven decisions. Built HR data warehouse and data marts. Translated business capabilities into new revenue streams (SaaS). Engineered and architected data platforms and applications. ⭐️ Spearheaded cloud data strategy, influencing C-level executives, partnering with cross-functional teams on the roadmap and technology innovations, and creating the organizational structure and agile development process.✔ Increased agility, reduced cost, accelerated the time to market, and increased scalability and efficiency.⭐️ Drove design and implementation of the robust customer data and analytics platform to understand consumer behavior and elevate engagement, purchase rates, growth, customer success and drive customer 360.✔ Boosted NPS score and introduced health score. Aligned products and services with customer needs and increased customer satisfaction and retention.⭐️ Piloted architecture, design, and development of the SaaS data layer and operationalized ML algorithms and data science models to influence marketing campaigns, segmentation, customer churn, cross-selling, and up-selling.✔ Grew the cart value by 10% by building data products to provide product recommendations on hardware, software, and services for the quoting process.⭐️ Statistical Analysis to drive business growth by analyzing trends, customer behaviors, product feature usage, market trends, pattern analysis on discounts, product mix, margin impacts, offers and pricing strategy. ✔ Increased product feature adoption, profitability, and formulation of offers.⭐️ Fostered a framework for hiring, performance appraisals, and growing great talents globally.✔ Resulted in talent retention improvement and an increase in teamwork and collaboration. -
Senior Engineering ManagerCisco Systems Feb 2012 - May 2016Led software development and built data layers to deepen vision into metrics, reduce costs, and simplify processes.⭐️ Managed teams, designing and developing Capital Leasing and Financing software for customers and partners using service-oriented architecture and distributed systems to enable quoting, origination, and servicing.✔ Increased revenue by $100M, accelerated the time to market, and produced $10M in cost savings while migrating away from legacy systems.⭐️ Shaped the design and development of allocations management software using open-source technologies to deliver scalable financial allocations and profit visibility.✔ Achieved 100% SLA compliance and elevated the accuracy of profitability reporting by product, region, and segment.
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Enterprise ArchitectCisco May 2008 - Jan 2012United StatesCollaborated on and led complex projects, created a framework to analyze and recommend products and tools, and designed and implemented a new enterprise reporting solution while leading strategy and execution.⭐️ Architected scalable solutions for large-scale systems, including Ordering Services, Receivables and Collection Management, Financial Close Management, Integrated Planning, and Account Reconciliations.✔ Reduced the time for order capture and improved financial planning and performance management for the CFO.⭐️ Revamped data warehouse architecture (Oracle to Teradata) and led the creation of the data model, reusable data pipelines framework, data governance, data quality, and the consolidation of siloed data and analytics applications.✔ Consolidated 70+ reporting applications to 10 and created a central data platform to make business-critical decisions.
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Senior Principal ConsultantComsys Apr 2002 - Apr 2008United StatesBuilt software and solutions in Healthcare for diagnostic analysis, provider matching, claims processing, Healthcare data anlalyitcs, and improve people lives. Specialized in marketing and eCommerce web analytics and focused on improving revenue growth and customer experience while steering business decisions for clients, utilizing diverse business intelligence and data management tools to optimize solutions and serve clients across industries.
Sivakumar Padmanabhan Education Details
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Master Of Science Business Analytics, Honors -
Computer Science
Frequently Asked Questions about Sivakumar Padmanabhan
What company does Sivakumar Padmanabhan work for?
Sivakumar Padmanabhan works for Its Logistics
What is Sivakumar Padmanabhan's role at the current company?
Sivakumar Padmanabhan's current role is Head of Data and AI.
What schools did Sivakumar Padmanabhan attend?
Sivakumar Padmanabhan attended Saint Mary's College Of California, Bharathidasan University.
Who are Sivakumar Padmanabhan's colleagues?
Sivakumar Padmanabhan's colleagues are Thomas Janjigian, Dino Waldren Jr, Sam Davis, Nicole Rovai, Mark Higgins, Damon Russell, Michelle Rawlings.
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