Data Strategy Lead

Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role you’ll be encouraged to challenge the norm investigate ideas outside of your role and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities
The Data Strategy Lead will lead overall Data Strategy and Governance activities. They will collaborate with the broader IBM Consulting data leadership team to define and execute a data strategy followed by multiple agile sprints to support the execution of data management data cataloging and ETL/Data Conversion activities leading into building of a modernized Data Fabric and Platform that supports and feeds automation.

The Data Strategy Lead will be responsible for:
Conducting data workshops
Collaborating with customer and IBM DataOps teams
Understanding current data topologies and workloads
Assessing customer maturity identifying customer pain points gaps and their needs (use cases)
Developing and recommending modern architecture components in support of data governance needs and
Successfully implementing the recommended data architecture for a given use case

Required Technical and Professional Expertise

• 8 years of professional experience in data governance and strategy
• Strong knowledge in ETL methods and working with databases
• Experience with data architecture data modeling schema design and development
• Knowledge in Apache Spark and/or Databricks
• Experience and knowledge working with AWS (certified practitioner preferred)
• Data Fabric/Mesh/Lakehouse knowledge or other data implementation experience
• Good understanding of at least one coding language (e.g. Java Python Scala etc.)
• Knowledge in business intelligence infrastructure data engineering data analytics or a related subject

Preferred Technical and Professional Expertise

• Experience with Public Sector Clients (US Federal Higher Education State and Local Governments)
• Experience with DAMA DMBOK or CDMP certification