Vignesh B S
Senior Program Manager @ Google - AI for Cloud Products | Ex-Adobe, Amazon
Bengaluru
7+ years of work experience
Oct 20241 yr 11 mosPresent
Bengaluru, Karnataka, India
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.
Mar 20231 yr 8 mosOct 2024
Bangalore Urban, Karnataka, India
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.
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Oct 20211 yr 6 mosMar 2023
Bangalore Urban, Karnataka, India
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
Nov 20201 yrOct 2021
Bengaluru, Karnataka, India
• 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.
Aug 20203 mosOct 2020
Bengaluru, Karnataka, India
Jan 20208 mosAug 2020
Bengaluru, Karnataka, India
• Analysis and Management Organizational Risks
• Specialized Risk Analyst in the field of
o Process Improvement and SOP preparation.
o Team and Process Calibration.
o Quality improvement
o Pattern Recognition.
Jun 20181 yr 1 moJun 2019
Kollam, Kerala, India
Vignesh’s AI Stack
Education
B.Tech | NIRF Rank: 5, Mechanical Engineering
University of Kerala
20144 yrs2018
Higher Secondary, Engineering Science
Government HSS, Pallimon
20122 yrs2014
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