ARE YOU READY to step up to the New and take your technology expertise to the next level?
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.
Technology is one of four services that make up one Accenture the others are Strategy and Consulting, Interactive and Operations.
WORK YOU’LL DO
As a Data Warehouse / Business Intelligence Manager you will work closely with our clients, leading and coaching alarge scalecross-functional team responsible for the delivery of large-scale DWH / BI solutions to support their operational, tactical and strategic reporting as well as other analytical business needs.
You will guide team members in the end-to-end delivery lifecycle of such projects from business requirements gathering to solution design, development, testing and roll-out.
Leading Responsibilities :
Lead medium to large scale teams (10-20+ personnel)
Oversee day-to-day project progress, safeguarding the quality, budget and time
Propose solutions and / or mitigation actions (e.g. workarounds) to identified issues & risks in order to ensure project completion according to agreed plan
Guide Team members in technical implementation and best practices
Facilitate workshops with client’s stakeholders to validate business requirements & functional specifications
Gradually participate in expanding BI capabilities in other clients / industries
Technical Responsibilities :
Act as an SME (Subject Matter Expert) in topics relevant to Data Management & Business Intelligence
Design large-scale Data Warehouse solutions for On-Premise and Cloud Data architectures (e.g. define application blueprints and technical design documents, etc.)
Coaching, mentoring and overview of the implementation teams with regards to technical matters (e.g. Data Modelling techniques, Database & ETL Performance, etc.)