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Company

Original Job Post

PwC · 2 days ago

Data Analytics & Technologies Director

Miami, FL

Full-time

Onsite

Director

12+ years exp

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Responsibilities

Support team to disrupt, improve and evolve ways of working when necessary.

Arrange and sponsor appropriate assignments and experiences to help people realise their potential and support their long-term aspirations.

Identify gaps in the market and spot opportunities to create value propositions.

Look for opportunities to scale efficiencies and new ways of working across multiple projects and environments.

Create an environment where people and technology thrive together to accomplish more than they could apart.

Promote and encourage others to value difference when working in diverse teams.

Drive and take ownership for developing connections that help deliver what is best for our people and stakeholders.

Influence and facilitate the creation of long-term relationships which add value to the firm.

Uphold the firm's code of ethics and business conduct.

Creating trusting relationships with business stakeholders and ability to act as a trusted advisor to client leaders.

Supporting the development of digital accelerators and repeatable solutions.

Leading business development efforts by participating in proposal development, sales pursuits, and client presentations.

Designing and implementing data & analytics capabilities needed to transform Pharma & Life Science (P&LS) commercial functions.

Engaging/facilitating business process and data enablement discussions with stakeholders from various departments.

Designing data architecture and implementing/integrating D&A platforms within the P&LS Commercial ecosystem.

Providing thought leadership around healthcare cloud data management and advanced analytics solutions.

Architecting and designing data implementation patterns and engineered solutions using native cloud capabilities.

Guiding the application of leading practices in supporting high availability, scalable solutions architectures to data integration/migration, analytics, and insights.

Leading data warehouse team and creation of cloud data warehouse plans, roadmap, and assessment of client’s enterprise data systems.

Guiding and reviewing detailed functional and technical specification documentation related to cloud data warehouse solution.

Leading multiple engagements to design and develop cloud-based analytics solutions, modern data warehouse using data modeling techniques.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Digital Solutions DevelopmentBusiness DevelopmentProposal DevelopmentProblem-SolvingRelationship BuildingAdvisoryLeadershipSales PresentationData & AnalyticsData ArchitectureCloud Data WarehouseHealthcare Cloud Data ManagementAdvanced AnalyticsAI/ML ModelsML OpsData Implementation PatternsNative Cloud CapabilitiesHigh AvailabilityScalable Solutions ArchitecturesSQLTableau/Power BIPythonSparkData Warehouse ManagementData ModelingCI/CDCloud DevOpsContainersKubernetesDocker

Required

Minimum Degree Required Bachelor Degree

Minimum Years Of Experience 12 year(s)

Creating trusting relationships with business stakeholders and ability to act as a trusted advisor to client leaders

Supporting the development of digital accelerators and repeatable solutions

Leading business development efforts by participating in proposal development, sales pursuits, and client presentations

Preferred

Designing and implementing data & analytics capabilities needed to transform Pharma & Life Science (P&LS) commercial functions

Engaging/facilitating business process and data enablement discussions with stakeholders from various departments

Designing data architecture and implementing/integrating D&A platforms within the P&LS Commercial ecosystem

Understanding and experience with modern cloud data warehouse and engineering for various cloud providers

Providing thought leadership around healthcare cloud data management

Understanding of advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process in pharma, life sciences industry

Architecting and designing data implementation patterns and engineered solutions using native cloud capabilities

Guiding the application of leading practices in supporting high availability, scalable, process and storage intensive solutions architectures

Understanding or knowledge in SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark

Leading data warehouse team and leads in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client’s enterprise data systems

Guiding and reviewing detailed functional and technical specification documentation related to cloud data warehouse solution

Leading multiple engagements to design and develop cloud-based analytics solutions, modern data warehouse using data modeling techniques

Understanding of CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark/JavaScript