Oliver Wyman -Senior Lead Data Engineer

Company:

Description:

Boston, New York, Toronto
Sr. Lead Data Engineer

____
WHO WE ARE

Oliver Wyman Digital is a ground-breaking division within Oliver Wyman delivering world-class solutions to give our clients a competitive edge. We work across the full technology stack from databases and analytics to APIs and web and mobile applications. With a mixture of over 300 consultants, specialists and support professionals in 16 major cities across the world, we’re committed to growth that retains our start-up agility while expanding our opportunities for world-class work.

____

THE ROLE AND RESPONSIBILITIES

No two OW Digital projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. The Sr. Lead Data Engineer will serve as a keystone on our larger projects, enabling us to deliver solutions hand-in-hand with consultants, data science specialists, and software engineers. The Data Engineer is the universal translator between IT, business, software engineers, creative designers, behavioral science, and Data Scientists, working directly with clients and project teams. S/he works to understand the business problem being solved, the data required to do so, and the tools to make the data impactful. As a Sr. Lead Data Engineer, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered by a multi-disciplinary team of OW Digital specialists and consultants.

 Your responsibilities will include, for example:

• Understanding the overall problem being solved and what flows into it
• Building tools, platforms, and pipelines to enable teams to clearly and cleanly analyze data, build models, and drive decisions

• Lead and mentor a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement

• Determining and fulfilling functional and non-functional requirements while ensuring alignment with budgetary and financial objectives
• Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
• Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
• Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
• Engage with stakeholders across various levels to ensure project alignment and manage expectations effectively
• Collaborating with clients to understand, advise, and recommend on strategic sourcing (internal versus external)
• Joining colleagues in an Oliver Wyman office or client site at least 50% of the time to collaborate and learn

____
 

YOUR EXPERIENCE

You are a well-rounded delivery-minded technologist who brings a wealth of real-world experience with:

You are a well-rounded technologist who brings a wealth of real-world experience and a:

• Technical background in computer science, software engineering, database systems, distributed systems
• Familiarity with statistics, data science, and machine learning 
• A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value

• Proven ability to design scalable architecture tailored to client requirements, ensuring alignment with budgetary constraints, project timelines, and financial objectives through effective trade-off analysis
• Expertise in applying best practices for various data architectures (e.g., event-driven, batch, real-time data integrations) focusing on efficient solutions that meet project needs without unnecessary complexity.
• Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale
• Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
• Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
• An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
• Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews

• Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and ac