Vacancy expired!
- Partner with stakeholders in various business units and locations to ensure execution of the Digital initiatives as it relates to data processing, data warehouse, analytics and related toolsets
- Partner with Global IT teams (Architecture, BI Center of Excellence, Operations and support teams) 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.
- Manage 3rd party vendors and partners for the development and delivery of data integration, advanced analytics and reporting needs. Define, prioritize and manage the tasks and resolve dependencies or questions raised by the team
- Propose solutions, provide strategic direction, and prioritize on-going demands focused on Data Lake, Data Warehouse, Master Data Management and advanced analytics.
- Manage projects from start to finish and ensure successful implementation within agreed cost, schedule and quality targets.
- Provide thought leadership to the immediate business and technology organization
- Develops architecture specification deliverables that map customer business requirements into complete information systems (technologies, processes and people) or operational solutions.
- Produce diagrams, reference architecture, domain models, and other artifacts that describe complex problems and sprawling end-to-end solutions.
- 7+ years of progressive experience in Business Intelligence, Analytics, Data Warehousing, Data Architecture
- 7+ years of experience in leadership, process and project management.
- 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 like pyCharm.
- 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 workflowsExperience with Business Intelligence, Reporting and Data Visualization architecture, design, tools and technologies is a plus.
- 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 methodology solutions
Vacancy expired!