requirements to build the data blueprint by designing the data entities
and taxonomies and the data flow underneath the business process.
Collaborate with the rest of the
Data and Platforms Groups for the design and build of a structured approach
of data storage and access mechanism to data mart models.
Provide support to frame the
optimal flow for data - from capture to analysis- including interactions
between people and processes.
Partner with IT teams (Architecture, BI Center of Excellence,
Operations and support teams) in various locations at all steps of project
lifecycle to ensure consistency in tools and standards, smooth set up of
solutions and appropriate transition to support and operations.
solutions, provide strategic direction,
and prioritize on-going demands focused on Data Lake, Data Warehouse,
Master Data Management and advanced analytics.
projects from start to finish and ensure
successful implementation within agreed cost, schedule and quality
thought leadership to the immediate
business and technology organization
Developing architecture specification
deliverables that map customer business requirements into complete
information systems (technologies, processes and people) or operational
Developing enterprise architecture
standards and facilitating the adherence and governance of related project
activity through controls in PMO, Project/Solution Development Lifecycle,
Change Management, and Procurement processes.
Business Intelligence, Analytics, Data Warehousing, Data Architecture
Familiar with cloud technologies (Azure and AWS
analytics stacks) and analytics workbenches (Jupyter, Qubole), Spark,
Databricks, Scala, Azure DevOps etc.
Familiar with most common advanced analytics IDE's
Experience with a Master Data Management tool.
Experience with latest analytics tools and
technologies (tools, Big Data technologies, ETL (for example, Informatica,
SAS DI), database query languages, data warehousing, dimensional modeling,
data cleansing, OLAP design, data lakes, master data management, advanced
analytics, enterprise application integration.
Experience with performance optimization, large
data volume architecture and design, relational and columnar databases,
operations, data extracts, data refreshes and workflows.
Experience with Business Intelligence, Reporting
and Data Visualization architecture, design, tools and technologies is a
Experience in commercial
organization/pharmaceutical industry is strongly preferred
Up-to-date knowledge of market trends and
developments in Artificial Intelligence, Data Science and related new
technologies preferred to provide recommendations and deliver standard