Vignesh B S

Technical Program Manager

Bengaluru, Karnataka, India9 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led AI tool development at Google Cloud.
Enhanced marketing strategies at Adobe.
Improved data-driven decision-making across teams.

Stackforce AI infers this person is a Data Analytics and AI Solutions expert in the Cloud Computing industry.

Contact

vigneshspillai95@gmail.com LinkedIn

Skills

Core Skills

Program ManagementArtificial Intelligence (ai)Business AnalyticsData Analysis

Other Skills

Python (Programming Language)SQL advancedGoogle AnalyticsLarge Language Models (LLM)Large Language Model Operations (LLMOps)Cloud ComputingMicrosoft ExcelSQLMicrosoft Power BIAdobe AnalyticsData VisualizationSnowflakeBusiness StrategyFinancial AnalysisProcess Improvement

About

At Google, I serve as a Technical Program Manager in Product Analytics, designing and implementing AI-powered internal tools for Google Cloud engineers. This work builds upon my strong foundation as a Senior BI Engineer at Adobe, where I engineered solutions that resonated across international markets and drove process improvements, now applying these analytical skills to elevate Google Cloud's product excellence.

Experience

9 yrs 7 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr 8 mos

Current Experience

Google

Technical Program Manager II - AI for Cloud Products

Oct 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Initiated the development and deployment of 3 key AI-powered internal tools utilizing LLMs, aiming to improve engineering efficiency by an estimated 10-15% by automating tasks like code generation and documentation for Cloud Engineering Teams.
Established initial success metrics and monitoring frameworks for 5+ newly deployed AI models, ensuring early alignment with strategic objectives and tracking their immediate impact on tool adoption.
Contributed to optimizing AI model performance and accuracy by 5-8% through focused fine-tuning processes and preliminary data analysis.
Actively managing aspects of internal database systems supporting critical engineering data, ensuring data integrity and accessibility for ongoing AI model development.
Successfully managed the initial phases of 2 complex AI solution programs, focusing on requirements gathering, planning, and early execution to deliver robust and scalable tools.
Fostered strong cross-functional relationships with key engineering teams and stakeholders, facilitating effective collaboration in the early stages of AI tool integration.
Provided regular updates on program progress and early performance indicators to various organizational levels, ensuring transparency and alignment.
Proactively identified and began mitigating initial risks associated with AI model accuracy, bias, and scalability, laying the groundwork for more robust solutions.
Contributed to establishing foundational process improvements for AI model development and deployment, aiming for increased program efficiency as new tools are rolled out.

Python (Programming Language)SQL advancedGoogle AnalyticsProgram ManagementLarge Language Models (LLM)Large Language Model Operations (LLMOps)+2

Adobe

Senior business intelligence Engineer

Mar 2023 – Oct 2024 · 1 yr 7 mos · Bangalore Urban, Karnataka, India · On-site

Presented comprehensive analyses to C-Suite leaders on over 15 major campaigns, providing critical insights that directly informed strategic decisions on lead-to-conversion efficacy and event ROI across diverse customer segments.
Led collaborative efforts with EMEA and APAC Marketing Leaders across 8+ international events, conducting in-depth data analysis and utilizing advanced statistical models that resulted in an average 10-15% uplift in event-generated leads and a 7-10% improvement in conversion rates.
Designed, developed, and currently manage a suite of over 5 high-impact international dashboards, which became the single source of truth for marketing performance, leading to a 20% faster decision-making cycle for global marketing teams.
Partnered closely with business stakeholders to define and forecast financial year and quarter targets, accurately predicting lead and revenue generation within a 5% margin of error using advanced predictive modeling, enabling optimal resource allocation across various customer segments.
Conducted over 10 root cause analyses and viability assessments for proposed product changes, applying advanced statistical methodologies that directly informed product strategy and mitigated potential market risks.
Provided actionable insights and recommendations that contributed to a 15-20% enhancement in the efficiency and effectiveness of Adobe's marketing strategies, particularly in digital campaign optimization.
Collaborated seamlessly with 7+ cross-functional teams (e.g., Sales, Product), ensuring strategic alignment of marketing efforts with overall business objectives and driving a 10% increase in inter-departmental data utilization.
Regularly delivered data-driven updates and presentations to stakeholders (20+ per quarter), fostering a culture of informed decision-making across the marketing organization.
.

Python (Programming Language)Business AnalyticsMicrosoft ExcelSQLGoogle AnalyticsMicrosoft Power BI+2

Swiggy

Program Manager -Data Analytics, L6 ( Trust and Safety Central team)

Oct 2021 – Mar 2023 · 1 yr 5 mos · Bangalore Urban, Karnataka, India · Remote

Proficient in: SQL, Building Data Science models, Program management, MS Excel, Building Dashboards, People Management, and Stakeholder management.
· Define and solve highly ambiguous problems and proactively identify and mitigate risks (before they
become roadblocks)
· Develop, implement, and govern KPI reporting for a portfolio of programs.
· Work with Trust and Safety streams - data Sciences, analytics, product, and engineering teams to
build/retrain data science models and build scalable products to reduce transactional fraud and abuse.
· Analyze data and drive improvements that are quantified with metrics.
.People manager: 15 Analysts

Business AnalyticsGoogle AnalyticsProgram ManagementSQLSnowflakeBusiness Strategy+9

Amazon

4 roles

Global Advisor - Analytics (L4)

Promoted

Nov 2020 – Oct 2021 · 11 mos

Got promoted within the first year (Organizational norm is 2.5 Years)
Structure and develop continuous process improvement plans and work with ops leaders to pilot and
test new solutions and then roll them out across the broader ops organization.
Single point of contact for new marketplace risk analyses across the globe.
Partner with managers on the sites/functions for process improvement and provide feedback to the Product/DS/operations team based on the trend analysis and patterns observed.
New hire orientation and KPI management.
Analysing Risks associated with different market-places and providing solutions.

Business AnalyticsData AnalysisData VisualizationBusiness AnalysisCustomer Relationship Management (CRM)Teamwork+5