Senior Data Product Manager

Lead study design, development, and validation of clinical data capture systems.

Support data management activities including DMP/CRF/edit checks and DB lock.

Serve as technical expert for data problems

Manage projects from SMB to Enterprise

Lead client implementation process

Explain core platform and capabilities

Analyze product and user behavior data

Quantify impact and ROI

Lead data analysis projects

Interface with merchant partners

Lead data analysis projects

Interface with merchant partners

Design and develop scalable data models for analytics.

Collaborate with data engineers on data pipelines.

Analyze complex product and user behavior data

Quantify impact and ROI of opportunities

Analyze product and user behavior data

Partner with Product to define success metrics

Analyze product and user behavior data to identify key metrics and trends

Collaborate with Product team to frame problems and define success metrics

Analyze product and user behavior data to identify key metrics, trends, and customer pain points

Partner with Product to frame problems, define success metrics, and identify data-backed solutions

Own GTM operations for a business unit

Lead day-to-day ops and long-term planning for sales segments

Support product squads and collaborate with various teams

Measure impact and present findings

Serve as primary contact for Consumer affiliate accounts globally

Coordinate partner milestones and ensure timely issue resolution

Own end-to-end marketing analytics for key metrics

Collaborate with Marketing to drive analytics projects

Manage marketing systems and lifecycle architecture for GTM alignment

Integrate HubSpot with Salesforce and GTM connections

Generate insights and follow-up for a major business unit

Analyze data to support data-driven decisions

Collaborate with different departments to address inefficiencies.

Support business units in analyzing and monitoring metrics.

Own and manage Bronze data layer with API ingestion and transformation.

Collaborate with Product and Engineering on Silver-layer modeling and governance.

Develop industry GTM strategies

Drive revenue growth across verticals

Analyze data to support data-driven decisions

Enhance dashboards and define requirements

Own marketing analytics process

Define and track key metrics

Own revenue forecasting and modeling

Collaborate with cross-functional teams

Own revenue forecasting and build scenario models

Collaborate with GTM leadership to define metrics

Own revenue forecasting and modeling across various business segments.

Collaborate with GTM leadership to define ROI metrics and profitability targets.

Prepare board materials for ACO meetings and events

Design and implement reports using BI and CRM tools

Define and evolve pricing strategy for GPU cloud and AI infrastructure offerings.

Lead pricing architecture for complex enterprise agreements.

Own revenue forecasting and scenario modeling across various business aspects.

Collaborate with GTM leadership to define ROI metrics and profitability targets.

Manage revenue forecasting and scenario modeling

Partner with GTM leadership on defining metrics and targets

Own customer reporting and analysis

Build and maintain standardized customer datasets

Own revenue forecasting across different business segments

Build and maintain financial scenario models

Analyze data to support data-driven decisions

Create models/tools to identify and remove inefficiencies

Lead Global CX Operations effectively

Drive renewal and expansion forecasting

Responsible for revenue forecasting and scenario modeling

Collaborate with GTM leadership to define ROI metrics

Identify, investigate, and mitigate fraudulent activity

Implement logic targeting bad actors and high-risk behavior

Own revenue forecasting and scenario modeling

Partner with leadership to define ROI metrics

Lead revenue forecasting and modeling efforts

Collaborate with GTM leadership on defining key metrics

Revenue forecasting and modeling

Collaboration and partnership with other teams

Lead advanced data analysis and modeling for marketing data

Ensure data quality, enrichment, and governance

Build enterprise revenue forecast models

Develop reporting with variance analysis

Work with Enterprise customers to understand business needs and data replication needs

Develop and deliver technical presentations to Enterprise audiences

Prepare and present board materials effectively

Coordinate and manage events and retreats

Manage and track promotional calendar and details effectively

Analyze and report on promotional performance and effectiveness

Build models and queries to transform data

Maintain and develop data pipeline architecture

Design and maintain dashboards, reporting tools, and data models

Translate business needs into analytical tools and metrics

Define metrics and requirements

Build and maintain dashboards

Lead and scale EV product features

Define long-term EV integrations strategy

Own GTM operations for a business unit

Drive GTM cadence and accountability

Develop deep understanding of software and customer needs

Translate high-level requirements into detailed user stories

Develop and optimize website strategy for driving traffic and conversions.

Implement and improve website analytics tracking.