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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Lead Consultant, Data & AI Engineering
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Lead Consultant, Data & AI Engineering

NCS

NCS company logo

We drive our passion for harnessing technology.

We advance communities and transform industries.

We ae seeking a Data Project Lead with strong delivery experience in Data Engineering, Business Intelligence and Machine Learning deployments. You will provide stewardship over the design, development and delivery of complex digital analytics projects from initiation to closure. To achieve this, you will need to be a leader who can articulate a compelling vision to your client and team and ensure that this vision is delivered through all stages of the project.

You should also have a healthy appetite for exploring new technology and developing business cases to support enterprise-wide data analytics solutions.

What we seek to accomplish together:

  • Oversee the implementation of data analytics strategy for a client organization, and provide team leadership as well as guidance and coaching to a Data & AI delivery squad.
  • Client-facing interaction including providing analyses, recommendations, presentations and advice to clients.
  • Lead interdisciplinary teams that combine technical, business and data science competencies to deliver work in both waterfall or agile software development lifecycle methodologies.
  • Understands the strategic direction set by senior management as it relates to team goals.
  • Uses considerable judgment to determine solution and seeks guidance on complex problems.
  • Engage senior client and partner stakeholders for regular monitoring and sharing of project progress and provide guidance to the project team on key project risks and issues.
  • Oversee team management including budgets, forecasting, work allocations and staffing.
  • Drive effective performance management practices within the department in accordance with organization policies and procedures.
  • Demonstrate an acute ability in project risks and issue management and provide guidance on key project and design decisions in project steering committee meetings.
  • Build a team of high performing, motivated and committed data analytics professionals as part of practice-building and center management leadership role.

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