Manager, Data and Technology - Data Engineer

• Risk Data Strategy & Architecture
• Risk Data Modelling & Engineering
• Risk Data Analytics, Reporting & Insights
• Risk Data Governance & Management

• Support our clients to grow responsibly through the use of applied data and analytics.
• Support the industry leadership in growing our risk analytics business.
• Support the establishment of a repeatable analytical models and approaches for clients.\
• Work with other Deloitte functions to further the use of data & analytics in go to market activities.
• Manage and support team members in the delivery of work
• Build strong relationships with key Deloitte team members and clients.
• Enhance the value of our deliverables and the insights provided by our work.
• Support in reviews of data and date use for regulatory compliance and process and control effectiveness
• Work with existing clients to design and develop programs for data and analytics.
• Support the senior management team with go to market activities relating to risk and regulatory data and analytics projects.
• Have a clear understanding of the firm's commitment to creating a more inclusive culture.

• Exceptional planning, organization, project and people management skills.
• Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
• Minimum 7 years of experience of managing, strengthening, and broadening key client relationships.
• Minimum 7 years of experience of managing and leading team delivery
• Experience in Financial Services Industry in a consulting or industry capacity
• Experience in Risk and Regulatory Compliance areas in a consulting or industry capacity
• Experience in delivering a broad range of data analytics engagements in areas such as, Data Strategy, Data Architecture, Data Migration, Data Analytics, Data Governance and Data Quality.
• Experience in applying Data Analytics, ML/AI and/or other insights approaches to deliver business value
• Experience in working with analytical, visualization and data engineering capabilities
• Experience in developing and designing solutions on cloud platforms and data platforms like Azure and Databricks.
• Hands on development experience in python/pyspark.
• Ability to own and drive initiatives in many different and challenging environments.
• Ability to understand client needs and deliver value through proven and innovative approaches.
• Ability to synthesize large amounts of information to produce clear, concise, and logical presentations and reports
• Ability to work in a fast paced and demanding environment, both independently and in a team setting
• Ability to establish priorities and meet challenging deadlines
• Curiosity and comfortability with ambiguity
• Undergraduate or Graduate Degree in relevant field; relevant professional qualification is an asset
• Willingness/flexibility of traveling to client locations, as required
• US Regulatory experience is an asset

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