Overview
Work History
Education
Section name
Timeline

Satyajeet Paranjpe

Brainlabs Digital
Overland Park
9
years of professional experience

Work History

ASSOCIATE DIRECTOR – DATA STRATEGY

3 Years
Brainlabs Digital | 10.2023 - Current
  • New Business: Led Data Strategy and Analytics team across 25+ pitches in the last 3 years, including high-value enterprise accounts ($20M+ spend each). Was instrumental in helping Brainlabs land enterprise-level accounts like UNICEF USA, Hornblower, Bealls, SimpliSafe, Duke's Mayo, and Franklin Templeton.
  • Organic Growth & Cross-Selling: Evaluated client data maturity to identify expansion opportunities, successfully cross-selling advanced data services to existing accounts and generating $4M in incremental data services revenue in 2026 alone across the Brainlabs portfolio.
  • New Client Onboarding: Lead client onboarding by conducting comprehensive discovery to design short-, mid-, and long-term data strategy roadmaps, developing custom KPI frameworks, and defining MarTech architecture that prioritize initiatives across Data Engineering, Visualization, and Data Science.
  • Client Delivery: Managed a team of Analytics Managers and Data Analysts across the US, Canada, India, and Argentina to deliver end-to-end data projects, including MarTech mapping, data engineering, data visualization, and assessing client data maturity to scope advanced data science initiatives.
  • Incrementality Testing : Provided thought leadership on designing incrementality tests for clients, delivering data-backed rationale for test vs. control market separation and test timing; analyzed and presented test results to key stakeholders while collaborating with 3rd-party incrementality testing partners to execute seamless testing programs.
  • MMM & Advanced Analytics Integration: Collaborated with the internal Data Science team to construct performance response curves and Marketing Mix Models (MMM); analyzed model outputs to identify optimal channel saturation points and inform hypothesis-driven incrementality tests.
  • Executive Reviews & Insights Storytelling: Partnered with client services teams and channel leads during weekly, monthly (MBR), and quarterly business reviews (QBR) to construct data-driven storylines, analyze performance metrics, and present strategic insights and key findings to client leadership.
  • AI Automation: Developed AI automations, custom Skills, and trained specialized agents in Claude to automate manual, repetitive workflows—saving significant operational time for client services and channel leads while elevating team productivity across multiple clients.
  • Talent Acquisition: Aided Brainlabs recruitment team in shortlisting candidates for data roles, conducted interviews and provided feedback on candidates to the recruitement team and senior Brainlabs data leadership.

SENIOR MANAGER – DATA STRATEGY & ANALYTICS

1 Year 4 Months
Brainlabs Digital | 05.2022 - 09.2023
  • Data Engineering: Led data engineering projects within BigQuery and Microsoft Azure, partnering with Data Analysts and Analytics Managers to build scalable data pipelines, streamline ETL workflows to establish robust data foundation for clients.
  • Data Visualization: Built unified dashboards across Tableau, PowerBI, Looker Studio and Datorama to aggregate multi-channel data across global campaigns, establishing standardized reporting standards across agency accounts.
  • Insights Generation: Analyzed performance media data to generate insights & media efficiency across multiple verticals including creatives,audiences, Geographies, platforms
  • Forecasting: Built forecasting models for existing clients based on historical data and provided recommendations to planning and strategy teams for future media budget allocations
  • New Business Research: Conducted data-driven research for pitch initiatives, developing scenario forecasts using sparse or benchmark data alongside 3rd-party research inputs to inform competitive pitch strategies

ANALYTICS MANAGER

8 Months
King Ursa | 09.2021 - 05.2022
  • Media Operations: Managed annualized media spend of $3M+ across clients, overseeing complete campaign management including scoping, blocking chart alignment, performance reporting, and optimization execution.
  • Team Leadership: Led a team of 2 Senior Analysts and 3 Buyers, creating operational processes to monitor daily campaign performance and spur optimization discussions across the broader media team.
  • 1st-Party Data Strategy: Leveraged 1st-party CRM/LTV data to build custom audience clusters, refining top/mid-funnel audience priming to improve bottom-funnel media KPIs.
  • Data Pipelines & Dashboards: Built data pipelining strategy via Funnel.io to aggregate multi-channel data into Google BigQuery, partnering with stakeholders to construct interactive PowerBI reporting dashboards.

DATA ANALYST – ANALYTICS & INSIGHTS

9 Months
GroupM | 11.2020 - 08.2021
  • Cross-Channel Campaign Reporting: Managed client reporting across display, search, social, and web analytics platforms (CM360, DV360, SA360, Meta, LinkedIn, Google Ads, GA) across 9 clients and 17 active digital campaigns.
  • Reporting Leadership: Designed reporting templates tied to specific campaign objectives; led 2 Junior Analysts in maintaining client reporting calendars and SLAs.
  • Campaign Optimization: Collaborated with planning and investment teams to define campaign KPIs, target benchmarks, and live campaign optimizations.

PERFORMANCE DATA SPECIALIST

1 Year 6 Months
GALE Partners | 11.2018 - 05.2020
  • Predictive Modeling: Aggregated 1st, 2nd, and 3rd-party data using Python and R for feature scaling, PCA, and machine learning models (Clustering, Random Forest, Boosting) to analyze market penetration and customer personas.
  • Geospatial Analytics: Built custom internal and client-facing dashboards using R-Shiny, creating heat maps (R-Leaflet) for zip- and county-level geotargeting.
  • Data Engineering: Created automated data pipelines and executed complex SQL queries against client databases for data extraction, cleanup, and feature engineering.

PERFORMANCE ANALYTICS ASSOCIATE

1 Year 4 Months
GALE Partners | 07.2017 - 11.2018
  • Conversion Rate Optimization (CRO): Conducted CRO audits using Google Analytics to optimize online conversion funnels, reducing user drop-offs by 20%.
  • Web Analytics: Implemented Google Analytics via Google Tag Manager across 4 client sites to deliver on business tracking objectives.

Education

Master of Business Administration (MBA)

Schulich School of Business, York University | Toronto, ON

Master of Science (M.S.) - Mechanical Engineering

Pennsylvania State University | State College, PA

Bachelor of Science (B.S.) - Mechanical Engineering

University of Pune | Pune, India

Section name

Place

Timeline

ASSOCIATE DIRECTOR – DATA STRATEGY

Brainlabs Digital
10.2023 - CurrentRead More

SENIOR MANAGER – DATA STRATEGY & ANALYTICS

Brainlabs Digital
05.2022 - 09.2023Read More

ANALYTICS MANAGER

King Ursa
09.2021 - 05.2022Read More

DATA ANALYST – ANALYTICS & INSIGHTS

GroupM
11.2020 - 08.2021Read More

PERFORMANCE DATA SPECIALIST

GALE Partners
11.2018 - 05.2020Read More

PERFORMANCE ANALYTICS ASSOCIATE

GALE Partners
07.2017 - 11.2018Read More

University of Pune

Bachelor of Science (B.S.) from Mechanical Engineering
Read More

Pennsylvania State University

Master of Science (M.S.) from Mechanical Engineering
Read More

Schulich School of Business, York University

Master of Business Administration (MBA)
Read More

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Adplatform<ul><li>Roles and Responsibilities</li><li>Hiring and team building</li><li>Managing team’s career progression and performance reviews</li><li>Managing Performance improvement plan and firing</li><li>Mentoring</li><li>Product roadmap planning and execution</li><li>Accountability of the entire delivery execution including the risk mitigation planning.</li><li>Stakeholder management</li><li>Adhering to Apple Privacy and Security Guidelines for platform</li><li>Design and implementation of new architectures and solutions to manage all online services for AdXchange in Apple Ads.</li><li>Design and implementation of new architectures and solutions deliver Budget experimentation in Apple Ads</li><li>Design and implementation of new architectures and solutions to manage data for Ad Platform.</li><li>Creating and maintaining all the data and analytics and revenue pipelines for Ad Platforms</li><li>Driving the solution for data ingestions and data processing across Ad platform</li><li>Defining the Strategy for data governance and data access</li><li>Collaboration with business to deliver relevant data and insight for our strategy and decisions.</li><li>Managing storage, processing, copy/synchronization etc. appropriate to scale</li><li>Enabling machine learning and algorithm groups by proving them right frameworks and data</li><li>Advancing team’s design methodology and quality programming practices and evangelize those techniques across Ad platform.</li><li>Deliveries</li><li>Setup 8+ member team to design and deliver Budget Allocation and Budget experimentation.</li><li>Leading Ad Delivery services team, responsible for delivering various capabilities like query understanding, targeting, fraud etc.</li><li>Delivered and Lead Design for observability for budget, and data platform in Ad platform.</li><li>Setup 11+ members high performing team to handle various business needs such as analytics and micro services for Display Advertising as well as Data Platform</li><li>Instrumental in driving Data Platform throughout the SDLC from inception, design, development, testing and deployment.</li><li>Instilled a strong team culture of high-quality delivery by constructive feedback, cross collaboration, focus and motivation.</li><li>Delivered Realtime and Batch Platform with various integrations</li><li>Delivered new DIP design for Data Platform</li><li>Delivered design of all the components of Data processing platform</li><li>Transitioned Display data work to India seamlessly and delivered many critical business impacting features and organizational security initiatives.</li><li>Closely worked with various stakeholders to understand the requirements which resulted into efficient remote work culture.</li><li>Seamless Display execution and set up best practices for 24X7 production on-call.</li><li>Tools and Technologies</li><li>AWS, S3, Kafka, Spark, Hadoop, EMR, Hive, Scoop, Flume, Cassandra, Airflow, Oozie, Gobblin, Schema Store, Icloud, Grafana, Kubernetes, Vertica, Alation, snowflake, druid, Iceberg, Java, Scala, IntelliJ, Oracle, MySql, Git, RIO, Spinnaker, Elastic cache, Grpc, Agile.</li></ul> at Apple - Adplatform

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Satyajeet Paranjpe