Key Responsibilities:
- Oversee the implementation of data analytics strategy for a client organisation, 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.
- Oversee team management including budgets, forecasting, work allocations and staffing.
- 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 role.
Requirement:
- Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the engineering, computer science, statistics or analytics
- More than 10 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. OR
- 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, applying advanced analytics/data science techniques to realize business values
- The right candidate will need to have 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 Visualisation: Qlik, Neo4j, Tableau, Microsoft PowerBI, Oracle Business Intelligence Enterprise, IBM Cognos, MicroStrategy, SAS etc
- Statistical/Data Science Tools: H2O.ai, 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.
