Senior Manager, Data Analytics

Edwards Lifesciences

Senior Manager, Data Analytics at Edwards Lifesciences driving optimization of marketing strategy and budget through data analysis. Collaborating with teams to influence leadership decision making.

Posted 7/30/2026full-timeIrvine • California • 🇺🇸 United StatesSenior💰 $139,000 - $196,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Artificial Intelligence and Machine Learning model development, with a strong ability to apply predictive modeling and statistical techniques to optimize marketing strategies. Proficient in data visualization and business intelligence solutions, effectively communicating complex analytical findings to influence decision-making.

Highest-signal resume keywords

Artificial Intelligence ExpertiseMachine Learning TechniquesStatistical Computer LanguagesData Visualization ToolsBusiness Intelligence Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical TechniquesData AnalysisAlgorithm DevelopmentData ManipulationMachine LearningStatistical TestingRegression AnalysisClusteringDecision Tree Learning

Soft Skills

Strategic Problem-SolvingCommunicationCollaborationInfluencing StakeholdersAnalytical Thinking

Tools & Technologies

RPythonSQLQlikviewTableauRedshiftS3SparkMS Office SuiteExcel

Industry Keywords

HealthcareBusiness IntelligenceAnalyticsReporting SolutionsData Acquisition Strategy

Tech Stack

Tools & technologies

Amazon RedshiftPythonSparkSQLTableau

About the role

Key responsibilities & impact

Actively participate in high-level strategic problem-solving sessions with cross-functional teams and stakeholders
Present and communicate complex analytical findings to guide/influence senior leadership decision making
Apply predictive modeling and algorithms to data sets to drive optimization of marketing strategy and budget including updating and ensuring algorithms are current
Provide reporting and analysis to translate complex analytical models into clear, succinct recommendations to stakeholders
Partner with stakeholders to ensure success of key projects
Identify gaps in market inefficiencies and develop programs and solutions
Identify and assess the value of data sources based on organizational need to influence data acquisition strategy
Other incidental duties

Requirements

What you’ll need

Bachelor's Degree in related field with 10 years of previous related experience or equivalent work experience
Master's Degree or equivalent in related field with 8 years of previous related experience required
Experience in architecting, developing and deploying business intelligence, analytics and reporting solutions to internal and external stakeholders or equivalent work experience
Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.)
Experience working within healthcare or equivalent work experience
Expert knowledge of Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems
Experience using statistical computer languages (e.g, R, Python, SQL, etc.) to manipulate large data sets
Experience in data visualization tools (i.e. Qlikview, Tableau, etc.)
Experience with using web services (e.g., Redshift, S3, Spark, etc.)
Proven expertise in statistical techniques (e.g. distributions, statistical testing, regression, etc.)
Proven expertise on MS Office Suite (e.g., Microsoft Office Excel, PowerPoint, Word, and Access)

Benefits

Comp & perks

Competitive salaries
Performance-based incentives
A wide variety of benefits programs to address the diverse individual needs of employees and their families