Data Analytics & Technologies Senior Manager - Healthcare, Pharma & Life Sciences

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• 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.

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

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

Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:
Bachelor Degree
Minimum Years of Experience:
9 year(s)
Preferred Qualifications:
Preferred Knowledge/Skills:
Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

• 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; and,
• 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).

Learn more about how we work: https://pwc.to/how-we-work
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
For positions in California, Colorado, Hawaii, Nevada, New York State, or Washington State, or for opportunities that will report to a supervisor, office or other work site in New York State, please visit the following link for pay range information: https://pwc.to/payrange-v1-advisoryseniormanager
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