Data Project Lead

4 days ago


Singapore Singtel Group Full time
About the Role

We are seeking a seasoned professional to lead our Data Project Lead team, responsible for delivering complex digital analytics projects from initiation to closure. As a key member of our team, you will provide stewardship over the design, development, and delivery of data analytics solutions, ensuring they meet the highest standards of quality and excellence.

Key Responsibilities
  • Oversee the implementation of data analytics strategies for client organizations, providing team leadership and guidance to a Data & AI delivery squad.
  • Client-facing interaction, including providing analyses, recommendations, presentations, and advice to clients.
  • Lead interdisciplinary teams combining technical, business, and data science competencies to deliver work in both waterfall or agile software development lifecycle methodologies.
  • Understand the strategic direction set by senior management as it relates to team goals.
  • Use considerable judgment to determine solutions and seek 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 centre management leadership roles.
Requirements
  • Minimum of Bachelor's Degree required in a related field; strong preference for fields of study in engineering, computer science, statistics, or analytics.
  • More than 8 years of experience leading an Analytics consulting team or experience with leading one or more MNCs through the journey to becoming a data-driven organization.
  • More than 10 years of experience implementing a broad range of Analytics/Business Intelligence projects, such as data governance and management, visualizing KPIs on business dashboards, and applying advanced analytics/data science techniques to realize business values.
  • Possess hands-on experience with one or more of the following Analytics technology stacks, as well as familiarity with a broad range of solutions for visualization, advanced analytics, data ingestion/transformation, storage, and hosting, and willingness to learn new ones on the job:
    • Data Management & Storage: Talend, Denodo, Alation, Oracle Data Warehousing, IBM InfoSphere, Microsoft SQL Server, Hortonworks Data Platform, Cloudera, MinIO.
    • Data Visualization: Qlik, Neo4j, Tableau, Microsoft PowerBI, Oracle Business Intelligence Enterprise, IBM Cognos, MicroStrategy, SAS.
    • Statistical/Data Science Tools: Dataiku, SPSS, R, Python, Jupyter.
  • Project management certifications such as PMP, Agile, ITIL.
  • Proven track record in program management around integration, scope, cost, time, resource, quality, risk, procurement, communication, and stakeholder management.
About NCS Group

We want to create the extraordinary and impact millions of people every day. We believe in building a talent-led delivery model to enable our best people to lead and support them with the right structure, processes, and tools to ensure that our clients receive top-quality services. We want to invest in you. Great work is never done alone, and that's why we also believe in creating a collaborative work environment to bring people with different expertise and talent together. We create opportunities for our people to grow in our organization with well-defined career tracks and specializations to ensure that our people and talent can continuously deliver new value for our clients. We're here to make the extraordinary happen.



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