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Data Delivery & Practice Senior Manager / Director

NCS Hong Kong and Singapore

Singapore

On-site

SGD 100,000 - 150,000

Full time

13 days ago

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Job summary

A leading company is seeking a senior analytics consulting leader in Singapore. The role involves managing cross-functional teams, engaging with clients, and ensuring high standards in project delivery within the analytics space. Ideal candidates will have extensive experience in analytics technologies, project management, and client engagement, particularly with governmental bodies.

Qualifications

  • More than 10 years of relevant experience in analytics consulting.
  • Experience leading an Analytics team, preferably in MNCs.
  • Familiarity with Singaporean clients and relevant regulations (GDPR, PDPA).

Responsibilities

  • Lead delivery teams and manage project standards.
  • Oversee data analyses and communicate insights to clients.
  • Drive data delivery capability and manage team performance.

Skills

Data Management & Storage
Data Visualization
Statistical/Data Science Tools
Project Management

Education

Bachelor's Degree in related field

Tools

Informatica
Microsoft SQL Server
Tableau
Python
SPSS

Job description

What will you do

  • Client-facing interaction including providing analyses, recommendations, presentations and advice to clients
  • Lead the day-to-day activities of the delivery teams through the developing, establishing and maintaining project management standards and procedures.
  • Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems
  • Lead interdisciplinary teams that combine technical, business and data science competencies that deliver work in 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
  • Manage the timely reporting of data analysis outcomes and effectively communicates findings, insights and recommendations to business leaders using data metrics on top of standard project management measures such as data quality and model accuracy
  • Oversee team management including budgets, forecasting, work allocations and staffing
  • Drive presales initiatives, develop solutions and engage with customer to convert the opportunities
  • Drive data delivery capability building and practice leadership including data engineering, data platform management, project / service delivery
  • Drive effective performance management practices within the department in accordance with organisation policies and procedures

The ideal candidate should possess:

  • More than 10 years of relevant experience including :
  • at least 2years of experience leading an Analytics consulting team withexperience with leading one or more MNCs through the journey to becoming a datadriven organization;
  • and / or at least 5years of experience implementing a broad range of Analytics / Business Intelligence projects such asData Engineering, Data Governance and Management;visualizing KPIs on business dashboards or applying advanced analytics/ data science techniques to realize business values
  • 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:Informatica, Microsoft SQL Server, Big Data Platform, Talend, Cloudera, SAS
  • Data Visualisation:Tableau, Qlik, Microsoft PowerBI, Oracle Business Intelligence Enterprise, IBM Cognos, MicroStrategy, SAS etc
  • Statistical/Data Science Tools:SPSS, R, Python, Anaconda distributions, Jupyter
  • Experience working with Singaporean clients, the Singapore government, familiarity with GDPR in Europe, PDPA in Singapore will be an advantage
  • Project management certifications such as PMP, Agile, ITIL
  • Bachelor's Degree in related field; strong preference for fields of study in the engineering, computer science, statistics or analytics
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