ob Description
Location: Riyadh, Saudi Arabia & Dubai, UAE
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology and Operations services — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 710,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at www.accenture.com.
Accenture Technology
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses.
KEY ACTIVITIES:
Own modern data & analytics platform implementation / modernization / migration projects from requirements gathering till support.
Lead large, complex data initiatives including multiple project sub-streams and subject matter experts.
Define/create migration roadmap and budgeting large scale cloud migration projects.
Develop contract content to ensure the data platform solution is contracted to deliver client and Accenture value.
Bring the operational experience to bear to ensure the solution is deliverable at acceptable risk to Accenture.
Demonstrate data platform experience when communicating with clients on their requirements, turning these into technical transformation solutions.
Build and manage strong relationships with stakeholders and various teams internally and externally.
QUALIFICATIONS:
10+ years experience overall with at least 3 years leading delivery of large-scale data & analytics projects.
Experience with one or more Cloud platforms
Experience with one or more modern data & analytics solutions – Informatica, Databricks, Snowflake etc.
Experience with SCRUM, SAFE, Waterfall methodology
Ability to architect data solutions, applying concepts of data modelling, data validation, consolidation, data quality, data discovery and catalogue, data lineage.
Experience with relational and non-relational databases, structured and unstructured data, data pipelines, batch, near real-time and streaming.
Experience in working in multinational environment and with complex landscapes.
Self-motivation, proactiveness and openness to changes.
Ability to make things happen and to keep deadlines.
Ability to work under pressure and manage unexpected situations.
Business oriented and results driven.
Good analytical skills.
Effective communication and presentation skills.
Frequent travel to Oman (Required)
Education:
The following qualification(s) are required / preferable and beneficial for the candidate to perform the role:
Bachelor’s degree or equivalent in relevant subject areas such as Information Technology
Relevant certification in Data and AI
Why join us?
We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues
You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools
Flexible work arrangements and a range of benefits including competitive rewards
You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends
You will also have opportunities to make a difference to the communities in which we work and live
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