EXPERIENCE
Google | Product Strategy & Operations Program Manager New York, NY | Jan 2022 – Present
>2 years of experience in Google Customer Solutions team with focus on Sales/ Product activation Strategy and Operations by focussing on landing operational excellence and cross-organizational support strategy:
(i) Led a highly complex and cross-functional SMB/Google Tech support program strategy and operations to enable SMB Ads sales force to sell more effectively, including: orchestrating Google Tech business planning for Google customer solutions team, collaborating x-product, x-org strategic initiatives and driving operational excellence (spanning support to 5K+ Google sellers globally, across 10+ programs, with $XX billion USD revenue annually across a $XXX million 20+ workflow Google support Tech)
– Led and landed forward-focus ‘23 business planning & GTM strategy for SMB Google Ads by collaborating x-functional (sales, regional, PMs, eng, infra leadership) >100 stakeholders to align on the Opex funding/ FTE required to drive top product priorities
Managed annual strategic / business planning process translating GCS strategy into action, coverage includes dedicated support of $XXXM OPEX and 500HC, including driving the overall strategy and decision alignment at VP level across 5 cross-functional teams in 3 organizations (GCS, GTM, gTech)
(ii) Owned GCS product-based strategic initiatives relying on Google Tech support including preparation and operationalization of Privacy Centric Measurement product support (PCM) incl. 3PCD, DMA impact on advertisers, mitigation planning for Google Analytics 4 migration / Universal Analytics deprecation, and Long-Tail advertisers Product Troubleshooting support strategy remodeling / differentiation
Contributed towards the successful operationalizing of the migration strategy for SMB advertisers from Universal analytics product to Google Analytics 4 mitigating significant revenue at risk ($XXB) for Google by driving and-functional alignment across Product, google tech support team, marketing and seller success team and created a robust support mitigation plan and operationalized $xxM investment in support
– Lead the operationalization of Consent Mode product adoption in EMEA due to significant implications on rev @ risk ($XB) due to 3PCD, DMA and other privacy regulatory requirements (ongoing development of other products GTM which can help mitigate the risks from 3PCD and DMA to the Google advertisers)
(iii) Lead x-orgs quarterly business reviews across senior executives (MD, VP etc) to review the priority growth areas product adoption performance against the targets and opportunities to take action
(iv) Drove google tech support operational excellence by analyzing data to uncover and priortize areas of opportunities to provide further growth for the business; includes finding $xxM in cost opportunity in ‘23 and ‘24
(v) Contributed towards landing important critical Product launches due to the significant rev at risk ($xxB) for Google due to 3rd party cookie depreciation and DMA rule in EMEA region by developing mitigation plan and identifying higher areas of risks
(vi) Led the launch and development of automated solutions for scaling the High Touch Google technical support provided to advertisers/ clients and help reduce significant cost for Google [40 HC worth of cost saved for Google and was able to provide support at scale for Tailend Google customers specifically for technically complicated privacy advertising products]
(vii) Manage the deployment strategy to translate and land Google’s product priorities for SMBs into effective and fair incentives for our sales teams (>5-6k google sellers) by formulating hypotheses, designing tests, setting targets and using problem-solving techniques to evaluate solutions.
(viii) Provide reporting insights into global performance across regions by information gathering,data mining, statistical analysis, qualitative analysis; in addition in addition manage the project, including defining and deploying project priorities of Google Ads across the sales team globally
(ix) Led the operationalization of GTM strategy for levers to activate Google Ads priorities (e.g., privacy, YT) via Seller incentives, Specialist support (pre, post), Marketing, Sales assets and successfully landed with senior exec leadership which improved the customer experience (>+5% sat. score) and assisted Google sellers to navigate complexity efficiently
(x) Google Peer bonus and Spot Bonus: Received >10 peer bonuses from colleagues/ managers and >5 spot bonus from senior leadership
Mckinsey & Company | Analytics Specialist → Junior Engagement Manager New York, NY | Apr’18 – Jan’22
~4 yrs of experience serving various Fortune 100 companies on large-scale digital and data transformations, cross functional project management, enterprise strategy, risk management, statistical modeling, capability building and senior executive communications including serving various clients with focus on both analytical and non analytical components (e.g., developed PPNR models, stress testing, VAR segmentation (Collections modeling), assessed data risk management capabilities, setting up remediation teams, delinquency rates projections for major O&G company, assessed resilient companies)
(i) Served top 5 multinational banks in the large data transformation effort with focus on establishing data domains, data capabilities, target state strategy, standards and initiative workplans, performing data maturity assessment, operating model, data standards, processes and data quality as per the industry best standards and to be in compliant with the regulatory requirements leading to ($xxM) of cost savings and improving their data management practices
(ii) Managed a large-scale data transformation effort for a top 5 US financial institution to establish data governance strategy, standards, capabilities, and infrastructure across ~1700 bank processes
(iii) Drove collection operations transformation efforts for a public sector firm by designing value-at-risk (VAR) based contact strategy and segmentation model which helped in reducing charge offs by ~$XM per year
(iv) Transformational design phase where I helped the client in 6-8 week diagnostic and design effort focused on: Segmentation and Analytics, Contact strategy, collection/ treatment strategy and workforce effectiveness.
(v) Identified development opportunities in the existing “Member assistance programs” and design any new program that will help tackle customers likely to default due to COVID crisis
(vi) Improved forecasts for an energy sector client by analyzing the impact of COVID-19 on demand and delinquency of residential and commercial customers by more than 5%
(vii) Developed the go-forward growth strategy for a large asset management firm by identifying high impact growth opportunities and designing blueprint to establish new business to help achieve +10% growth in EPS
(viii) Led multiple CCAR Model development and validation projects across PPNR and Credit Risk models for large US banks and designed a board-level report for model risk reporting (including designing KPIs)
(ix) Developed multiple quantitative and qualitative macroeconomic revenue models across portfolios such as fixed income, and equity derivatives for multiple US banks to ensure they follow industry best practices and meets regulatory requirements
(x) Contributed to one of the Fortune top 5 bank in the US for their board meeting to understand its relative positioning during the COVID crisis and in coming years compared to its peers. The output of the exercise included recommendations, suggested bold moves for the client to consider which was reviewed with company’s C-suite and board members
(xi) Built an industry leading enterprise risk management program at a US bank by aligning stakeholders globally, and introducing agile framework leading to higher efficiencies and positive feedback from the regulators
(xii) Supported McKinsey’s Risk & Data practice thought leadership, including contributions to model validation best practices, high impact data assets/ digital twins, CCAR, Data governance & risk best practices, COVID scenario modeling, published data risk management collaterals as best practices.
CUNA Mutual Group | Data Analytics Intern → Data Scientist Madison, WI | June’17 – Feb’18
Refined customer acquisition and retention strategy by segmenting customers based on demographics, transactions, and other behavioral attributes increasing the target sales by 5%
Identified best channels to engage with customers by measuring effectiveness of marketing campaigns for auto insurance products
Minimized risk associated with default loans by identifying key factors leading to delinquency (Probability of Default) and predicted credit loss (Loss Given Default) using the member data of 120 credit unions [ [Expected Credit Loss (CECL): Risk Analytics | Credit Risk Modeling | CCAR Reporting]
Infosys | Systems Engineer → Data Quality Analyst India | Sep’13 – Jul’16
Enabled strategic decision making for senior stakeholders by devising SQL and Informatica adhoc queries and reports
Automated business reports for analyzing ~2 million records which decreased the run time by 20% using SQL
Gathered key clients’ requirements and conducted appropriate analysis to provide support to PM by developing business case, estimating scope, and scheduling milestones/tasks for resources
Led project of devising KPI’s for ETL framework to communicate results with the client using Advanced Excel