Senior Manager, Applied AI Health Data Architect

PwC

. Lead applied AI and health data architecture initiatives for payer data environments, translating business goals into scalable data solutions .

Posted 11/10/2026full-timeUnited StatesSenior💰 $124,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading applied AI and health data architecture initiatives, with a strong focus on designing cloud-native data platforms and optimizing data solutions for healthcare payer environments. Proficient in data governance, quality assurance, and modernization strategies to enhance performance and usability.

Highest-signal resume keywords

Data Architecture LeadershipCloud Data Platforms (AWS, Azure, Databricks, Snowflake)AI Fluency in Data EngineeringData Modernization StrategiesTeam Leadership and Coordination

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData WarehousingData Transformation LogicData Quality AssuranceData GovernanceData Engineering MethodsQuery OptimizationPerformance TuningAnalyticsAI Workloads

Soft Skills

LeadershipCommunicationProblem-SolvingCoachingStakeholder Management

Tools & Technologies

AWSAzureDatabricksSnowflakeDigital Tooling

Industry Keywords

Healthcare PayerData ModernizationCloud-Native SolutionsSensitive Health DataData Strategy

Tech Stack

Tools & technologies

AWSAzureCloudSnowflake

About the role

Key responsibilities & impact

Lead applied AI and health data architecture initiatives for payer data environments, translating business goals into scalable data solutions
Design cloud-native data platforms, pipelines, and integration patterns across AWS, Azure, Databricks, and Snowflake
Develop data models, warehouse structures, and transformation logic supporting analytics, AI workloads, and operational reporting
Guide data modernization efforts migrating legacy systems into modern architectures with improved performance, security, and usability
Oversee data quality, validation, governance, and anonymization practices across sensitive health data domains
Apply data engineering methods to tune pipelines, optimize queries, and improve database and warehouse performance
Advise client stakeholders on data strategy, architecture decisions, and AI-ready platform design within complex payer environments
Lead teams through delivery planning, issue resolution, and technical coordination across multiple workstreams
Coach practitioners on data engineering platforms, digital tooling, and AI-enabled solution delivery
Present solution options, tradeoffs, and implementation paths supporting modernization priorities and future data capabilities

Requirements

What you’ll need

At least a Bachelor's degree
At least 7 years of experience
Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
Demonstrating data architecture leadership for healthcare payer modernization initiatives
Utilizing AWS, Azure, Databricks, or Snowflake for cloud data platforms
Applying AI fluency to data engineering and architecture decisions
Translating client needs into scalable data modernization roadmaps
Leading complex, multi-team delivery with composure and sound judgment
Up to 80% travel
Must not require, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth in PwC's policy

Benefits

Comp & perks

Annual discretionary bonus
Medical insurance
Dental insurance
Vision insurance
401k
Holiday pay
Vacation
Personal and family sick leave