Data Consultant-Data Governance

hace 6 días


Buenos Aires, Argentina IBM A tiempo completo

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.

Your Role and Responsibilities
In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting embraces 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 IBM 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 groundbreaking 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.

Required Technical and Professional Expertise

1. Extensive experience in data governance and BI projects in the financial sector, including design and implementation of data solutions.
2. Knowledge in data models, master data and data quality framework, lineage, MDM, etc.
3. Knowledge in data security aspects.
4. Knowledge of data management frameworks such as DAMA.
5. Knowledge of data governance technology tools.
6. Experience in definition/identification and implementation of Customer-centric 360° Customer centric solutions.

Preferred Technical and Professional Expertise

1. Technical knowledge in data architectures and data exploitation: Big Data, traditional BI (reporting, exploration, dashboarding, OLAP analytics), advanced analytics and machine learning, event-driven architectures.
2. Knowledge of cloud storage technologies, preferably AWS.

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