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Archana B. Email & Phone Number

Technical Program Management at Google, Stanford GSB LEAD, Ex Amazon, Ex Microsoft, Ex Groupon at Google
Location: Greater Seattle Area, United States 10 work roles 4 schools
1 work email found @takeda.com 2 phones found area 312 and 888 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Role
Technical Program Management at Google, Stanford GSB LEAD, Ex Amazon, Ex Microsoft, Ex Groupon
Location
Greater Seattle Area, United States
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Archana B. is listed as Technical Program Management at Google, Stanford GSB LEAD, Ex Amazon, Ex Microsoft, Ex Groupon at Google, a with 1 employees, based in Greater Seattle Area, United States. AeroLeads shows a work email signal at takeda.com, phone signal with area code 312, 888, and a matched LinkedIn profile for Archana B..

Archana B. previously worked as Technical Program Manager at Google and Sr Technical Program Manager at Microsoft. Archana B. holds Lead, Organizational Leadership And Corporate Innovation from Stanford University Graduate School Of Business.

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*@takeda.com
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Profile bio

About Archana B.

I enjoy working with, designing and developing quality software applications to support "Supply Chain", and “Business Intelligence” initiatives. I thrive well in a culture of data-driven decision-making that demands business intelligence that is timely, accurate, and actionable. My passion lies in the intersection between business, technology, design and user visualization. I like to work with people and enjoy managing a product through its life cycle.Specialties: Solid end to end expertise in data analytics, product management, technical program management, data science and engineering, large scalable distributed software solutions, business performance metrics and KPI definitions. "Subject matter expert" on Marketing BI, marketing attribution, conversion funnel, E-commerce, retail global supply chain and Operations BI. Expertise include deep understanding of instrumentation, source to target mapping in Data Warehouse, data modeling, expert level SQL familiarity to pull data, owning and defining reporting templates as well as metric definitions, data analysis to support business operations, owning executive decks as well as working with scientists on machine learning model efficacy and results analysis.

Listed skills include Service Delivery, It Outsourcing, Governance, Vendor Management, and 69 others.

Current workplace

Archana B.'s current company

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Google
Google
Technical Program Management at Google, Stanford GSB LEAD, Ex Amazon, Ex Microsoft, Ex Groupon
Mountain View, CA
Website
Employees
1
AeroLeads page
10 roles

Archana B. work experience

A career timeline built from the work history available for this profile.

Technical Program Manager

Current

Mountain View, Ca, Us

Google Cloud Programs - Unified Fulfillment Optimization, Infrastructure Supply chain, New Product Acceleration, Data Center Software.

Sep 2020 - Present

Sr Technical Program Manager

Redmond, Washington, Us

Consumer Supply Chain - Windows, Microsoft Business Operations

Aug 2019 - Sep 2020

Co-Founder And Principal Product Manager

Co-Founder and Product Manager BeHive! Meeting tool. Business Vision, Strategy, Customer Profiling, Marketing and Customer Acquisition. This venture was conceptualized as an experiment to garner customer interest and market viability for a Meeting minute tool. Not only did we receive good customer feedback, we identified a niche requirement for this type of a tool in multiple user demography. We worked towards an MVP launch in Seattle and Bay Area and have a product road-map in place for the next one year. We are continuing to make progress organically through growth, acquisition and funding. Checkout www.usebehive.com

Jul 2019 - Sep 2020

Manager - Global Edw Product Management

Chicago, Il, Us

I owned and managed the data strategy, roadmap and execution for various business lines within Groupon. I was the Data and Privacy champion and owned the adoption and accuracy of our Groupon wide data warehouse and developing new BI and Big Data solutions on it. I specialized in teasing out customer requirements and developing products that are valuable, innovative as well as data-driven, timely, accurate, and actionable. I have managed the end to end life-cycle of several large technical cross-functional projects. I am a Subject matter expert on marketing, click-stream analytics, and retail global demand forecasting. I managed a team of 5 product managers. Together we ran gDPR for all of Data Systems at Groupon.Key wins: I successfully delivered Marketing Attribution Product as well as Marketing Conversion Funnel at Groupon which forms the backbone of our Marketing portfolio. I also have successfully delivered demand forecasting solution and Purchase Order management system for Groupon Goods.I led the team and took the company to GDPR compliance.

Mar 2018 - Feb 2019

Senior Product Manager For Groupon Edw

Chicago, Il, Us

• Working on managing all BI related needs for Marketing Organization reporting upto the CMO level. Product Owner for company wide Marketing Attribution technology based on which Marketing spend for different channels are computed. Responsible for all data that powers the Traffic WBR decks. I own the global marketing data and all related web and mobile aggregates for Marketing as well as Product teams that power mobile Groupon app as well as www.groupon.com.• Product Managing the Conversion funnel for Groupon.com and all associated artifacts that supply data to build the funnel. Creation and support of various aggregates that supports the website assets metrics (impressions per widgets, revenue per widget/widget content, deal efficacy analysis etc).

Mar 2015 - Apr 2018

Product Manager For Groupon Goods

Chicago, Il, Us

The Groupon Goods team is focused on building a Global Logistics and Supply Chain platform that will enable the Goods Operations team to bring the best deals to our customers as well as to deliver their orders on time. As an early member on this fast growing team, I wear different hats to support the business.• As a Subject Matter Expert on Smart Inventory I am involved in the product design of all the In-bound modules (Forecasting, Inventory health, PO Manager) for Groupon Goods. • Working as a Product Manager I own the Smart Inventory product road-map and am involved in the build, development, testing and release planning of the forecasting and the PO cutting pipeline for Groupon Goods and integrating all core Engineering components downstream like scheduling, warehouse management, routing service, inventory manager with these modules.• The first set of systems that we went live with was Smart Inventory Forecasting the highlight of which was the Smart Inventory Portal which we provided a way for Buyers to control their buying policies by viewing item level forecasts and providing a way for them to override forecasts and have control over how much of inventory was being purchased in their area (which they never had visibility to before).• As an analyst, I also own the Smart Inventory metrics definitions and am responsible for the weekly metrics deck that is submitted to the COO and executives. I am also the analyst responsible for the Forecasting Model efficacy analysis before things are rolled out to production and work closely with the Data Science team to make changes/tweak the model based on week over week performance. • As a data engineer, I have worked on creating the entire portfolio of reports that are needed for the executive weekly metrics deck as well as for forecasting performance reviews needed for monitoring and validating performance of the forecasting models week over week.

Feb 2014 - Feb 2016

Product Manager For Enterprise Data Warehouse

Chicago, Il, Us

• As a product manager managing the Groupon Getaways business line, I was the subject matter expert on all things data for the Getaways travel team. I had deep understanding of the instrumentation, source to target mapping in DW, data model, SQL logic to pull data, reporting templates, metric definitions, business processes for Getaways business. This included all aspects such as order pipeline, financial reconciliation for Getaways as well as travel attribution related to Expedia.• Worked on identifying, understanding, analyzing and documenting business requirements based on discussions with business groups. Most of the Getaways business is involved with external partners. Some of the work involved was integrating Switchfly reservation system with internal Groupon’s backpack system so that we could reconcile reservations and tie these data points with cybersource mappings so we could help accounting with three way match. • Other work involved in correctly designing the Travel attribution work where we have a contract tie up with Expedia. So based on how the user is led to the getaways deal, some portion of the transaction is shared with Expedia. Worked on the complete requirements design and product managed this component.• Helped build and maintain the Travel dashboards (Daily orders split by various dimensions, daily travel attribution split by dimensions), Daily financial summary split by various dimensions in Micro-strategy after the necessary fact tables were built in Teradata.

Jun 2013 - Jan 2014

Bi Analyst / Data Engineer For Retail Demand Forecasting Team

Seattle, Wa, Us

The Retail Forecasting team is the leading edge of the supply chain and produces order quantity forecasts for every product (asin) across all product lines, globally across the world. • Developed time series based weighted average seasonality model that influenced the forecasts for media product lines especially Software to forecast order quantity. This has been successfully used this tax season to determine effective order quantity rates. • Owned and built Daily Forecast scorecards and reports during Q4 to measure change in forecasts from a day to day basis so as to determine interventions needed during Q4 of 2012. These reports drove business go/no-go decisions for releasing the forecasting “andon cord” (which when released, will re-start the supply chain again). • Owned and maintained global retail wide forecast metrics. Was instrumental in the definition, creation and evangelization of these metrics as a means to measure forecast accuracy. Also completely automated these metrics for weekly consumption by global retail.• Acted as the liaison/QA for the team. Validated the output of the experimental pipeline. For this, I had to work with SDE’s and scientists on major projects (like front list model, cluster based seasonality model, price match window, subscribe and save model). Validated resulting forecast and accuracy before moving projects to production. • Drove instrumentation specifications that have enabled online automation, tracking and measurement for several key forecast accuracy initiatives such as Forecast Inaccuracy, Overbias and Underbias measurements and Mean (forecast) Accuracy Percent Error (MAPE), Promotion accuracy, Price elasticity and availability metrics. This allows insight into forecast behavior leading to effective interventions by in-stock managers.

Mar 2011 - May 2013

Data Engineer

Seattle, Wa, Us

The HR Systems team delivers business intelligence and reporting to over 1000 internal customers. • Instrumental in the build of the HR data warehouse encompassing HR, Payroll and Recruiting data. Was involved end to end in the customer facing requirements gathering to the build and deployment of the warehouse. Some of the tasks involved evaluate, design, build up, apply, and support Business Intelligence technical solutions using Oracle Business Intelligence Enterprise Edition (OBIEE). • Plan and generate executive level dashboards, complex reporting, and metadata modeling including STEAM level goals monitoring for Retention, Recruiting Level dashboards for hiring velocity, Payroll dashboards for accounting and go-to-green status monitoring by Company controller. • Involved in the complete end-to-end process: data modeling, ETL, repository, Answers queries, and dashboards with role-based security, mentoring of customers on how to view/use the data, working on headcount based research initiatives with Company economist, as well as train and mentoring new team members. • Technical work involved improving warehouse performance by developing star schemas with aggregates and dense aggregate processing. Primary toolset includes SQL, PL/SQL, OBIEE, Actuate, and Unix

Mar 2007 - Mar 2011

Consultant

Seattle, Wa, Us

Weyerhaeuser Company, one of the world’s largest integrated forest products companies principally engaged in the growing and harvesting of timber; the manufacture, distribution and sale of forest products; real estate construction, development and related activities. • Worked in the capacity of Product Owner, Program manager, Developer for Full Cycle implementation and support of Peoplesoft Human Resource Management Systems (HRMS) 8.8 primarily focusing on payroll and time and labor modules. Had 360 degree view of Enterprise operations. Worked on 20 plus, Weyerhaeuser Customizations / Enhancements as well as implementing bundles/ patches, custom rule development for Time and Labor and implementing time and labor interfaces with SAP. • As Product Owner, designed and implemented 2 custom time management systems. One was called the Washington Oregon Time Entry (WOTE) Download using Visual Basic as front end and MS Access and Mainframe as the backend and the interaction between the two using MS DOS batch programming, and Weyerhaeuser Time Entry (WTE) a Visual Basic MS Access Based application. WOTE download received special recognition as we identified a need for Adhoc Reporting of our history time data. I was instrumental in bringing this idea to light and subsequently managed the complete life cycle of the project. This involved the analysis of the business requirements, application design (screens and process flow), database design, implementation, testing and roll out. WOTE Download ran successfully in three primary mills catering to 2000 employees and WTE runs at 145 Weyerhaeuser mills catering to 10000 plus employees. • Product Owner of Kronos Time Keeper Central product at Weyerhaeuser that has an estimated biweekly financial transaction volume of 5000 hourly employees pay in 75 sites. Was involved in the complete support, management of code changes and production migration.

Jan 1999 - Mar 2007
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4 education records

Archana B. education

Lead, Organizational Leadership And Corporate Innovation

Stanford University Graduate School Of Business

Master Of Science - Ms, Computer Software Engineering

Birla Institute Of Technology And Science, Pilani

Bachelor Of Science - Bs, Mathematics

University Of Madras

High School, Math, Physics, Chem And Bio

P.S.Senior Secondary School
FAQ

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What company does Archana B. work for?

Archana B. works for Google.

What is Archana B.'s role at Google?

Archana B. is listed as Technical Program Management at Google, Stanford GSB LEAD, Ex Amazon, Ex Microsoft, Ex Groupon at Google.

What is Archana B.'s email address?

AeroLeads has found 1 work email signal at @takeda.com for Archana B. at Google.

What is Archana B.'s phone number?

AeroLeads has found 2 phone signal(s) with area code 312, 888 for Archana B. at Google.

Where is Archana B. based?

Archana B. is based in Greater Seattle Area, United States while working with Google.

What companies has Archana B. worked for?

Archana B. has worked for Google, Microsoft, Behive! Meeting Tool, Groupon, and Amazon.

Who are Archana B.'s colleagues at Google?

Archana B.'s colleagues at Google include Abhinav Kumar, User1109620 Test, テラダイツキ, Iryna Berezan, and Everton Werneck.

How can I contact Archana B.?

You can use AeroLeads to view verified contact signals for Archana B. at Google, including work email, phone, and LinkedIn data when available.

What schools did Archana B. attend?

Archana B. holds Lead, Organizational Leadership And Corporate Innovation from Stanford University Graduate School Of Business.

What skills is Archana B. known for?

Archana B. is listed with skills including Service Delivery, It Outsourcing, Governance, Vendor Management, Itil, It Service Management, Infrastructure, and It Management.

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