Manager, Data and Technology – Data Engineer

Role Overview

The Manager, Data and Technology – Data Engineer will lead engagement and client teams across data and analytics domains, helping some of the largest, most interesting organizations in the world imagine, deliver, and run the future. The role involves growing and mentoring junior team members, contributing to sales, and supporting clients to grow responsibly through the use of applied data and analytics.

What You Will Do

The successful candidate will have responsibility to support clients to grow responsibly through the use of applied data and analytics, support the industry leadership in growing our risk analytics business, and support the establishment of repeatable analytical models and approaches for clients.

Why It Might Be a Fit

The ideal candidate will have exceptional planning, organization, project, and people management skills, as well as experience in Financial Services Industry in a consulting or industry capacity, and experience in Risk and Regulatory Compliance areas in a consulting or industry capacity.

Requirements

• Exceptional planning, organization, project, and people management skills
• Exceptional communication, presentation, business writing, and professional skills
• 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

Benefits

• Competitive base salary
• Variable pay opportunities
• Mental health support benefits ($4,000 per year)
• Flexible benefit spending account ($1,300)
• Firm-wide closures (known as ‘Deloitte Days’)
• Dedicated days of learning (known as ‘Development and Innovation Days’)
• Flexible work arrangements and a hybrid work structure

Tagged as: Data Analysis, Python