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Company

Original Job Post

PwC · 5 days ago

Data Analytics & Technologies Senior Manager

Sacramento, CA

Contract

Onsite

Senior Level

12+ years exp

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Responsibilities

Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.

Deal effectively with ambiguous and unstructured problems and situations.

Initiate open and candid coaching conversations at all levels.

Move easily between big picture thinking and managing relevant detail.

Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.

Contribute technical knowledge in area of specialism.

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

Navigate the complexities of cross-border and/or diverse teams and engagements.

Initiate and lead open conversations with teams, clients and stakeholders to build trust.

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

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.

Data AnalyticsData ArchitectureCRMSales EffectivenessMarketingOmni Channel PromotionMarket AccessPatient ServicesSupply Chain OperationsManufacturingFinanceClinical DevelopmentBusiness ProcessData EnablementStakeholder EngagementERPSAP S4OracleVeevaSFDCModel NSAP VistexVendavoCustomer MDMReltioInformaticaData WarehousingQlikTableauPower BI

Required

Minimum Degree Required Bachelor Degree

Minimum Years Of Experience 12 year(s)

Designing and implementing data & analytics capabilities needed to transform Pharma & Life Science (P&LS) commercial functions, including- CRM & Sales effectiveness, Marketing and Omni channel promotion, Market Access, Patient Services, Supply Chain Operations, Manufacturing, Finance, Clinical Development

Engaging/facilitating business process and data enablement discussions with stakeholders from Commercial Operations, Field Sales Effectiveness, Brand Marketing, Order Management, Supply & Demand Planning, Manufacturing Operations, Clinical Trial Management

Designing data architecture and implementing/ integrating D&A platforms, within the P&LS Commercial ecosystem, such as ERP (SAP S4, Oracle); CRM (Veeva, SFDC); Contracts & Pricing (Model N, SAP Vistex, Vendavo); Customer MDM (Reltio, Informatica, Veeva Network); Data warehousing and Reporting (Qlik, Tableau, Power BI etc.)

Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - Azure (ADF, Synapse, Power BI), AWS (Glue, Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau

Providing thought leadership around healthcare cloud data management with understanding of solutions such as Azure ADLS 2.0 or AWS S3, creating analytics and insights solutions using Redshift, Azure SQL Pools, Snowflake, PySpark dataframes and/or equivalent technologies

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

Architecting and designing data implementation patterns and engineered solutions using native cloud capabilities that span data ingestion & integration (ingress and egress), data storage (raw & cleansed), data prep & processing, master & reference data management, data virtualization & semantic layer, data consumption & visualization

Understanding of cloud data solutions in the context of business applications, cost optimization, client’s strategic needs and future growth goals as it relates to becoming a ‘data driven’ organization

Guiding the application of leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements

Understanding and familiarity with one or more is a big plus -CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark/JavaScript

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 (on-premises and on-cloud) 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 such as file based, normalized or denormalized, star schemas, schema on read, Vault data model, and graphs for mixed workloads, such as OLTP, OLAP, streaming using any formats (structured, semi-structured, unstructured)