Digitas is a highly-caffeinated playground where brilliant minds come together to make bold, award-winning marketing. We use data-driven insights to guide our work, but we also believe in a healthy dose of spirited storytelling as we strive to transform the marketing landscape.

We are seeking a Program Manager with a Data Science focus. Working with the Data Hub Director, you will identify and translate market and business opportunities for key clients into actionable recommendations for the organisation. You will provide stewardship over the design, development and delivery of complex analytics products from initiation to closure. To achieve this, you will need to clearly articulate a *coherent* vision to your Data Science colleagues, 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.

You will:

• Project manage data science teams
• 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

You should have:

• Demonstrate an acute ability in project risks and issue management, and provide guidance on key project and design decisions in project steering committee meetings
• Several 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
• 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:

1. Data Management & Storage: Informatica, Oracle Data Warehousing, IBM InfoSphere, Microsoft SQL Server, Hortonworks Data Platform, Cloudera, SAS
2. Data Visualisation: Tableau, Qlik, Microsoft PowerBI, Oracle Business Intelligence Enterprise, IBM Cognos, MicroStrategy, SAS etc
3. Statistical/Data Science Tools: SPSS, R, Python, Anaconda distributions, Jupyter

• Project management certifications such as PMP, Agile, ITIL
• Knowledge/experience in:

1. Database modelling and data warehousing concepts
2. Appreciation of software engineering tools such as Java, .NET, or higher-level programming languages
3. Exposure in artificial intelligence – machine learning, deep learning, reinforcement learning