Generate a CV for this Job!

Based on your profile and this job description, you can create a tailored CV to apply directly.

Oliver Wyman -Senior Lead Data Engineer

Oliver Wyman • District of Columbia, US • On-site

Posted on: 12th March, 2025
Employment Type: FULLTIME

Job 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 access
• Fluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties
• Use of agile and DevSecOps practices for project management and software delivery
• Demonstrated expertise building backend services with some of the following common languages and tools:
• Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools
• Spark (Scala and PySpark), HDFS, Kafka and other high volume data tools
• SQL and NoSQL database technologies, such as MySQL, Postgres, Cassandra, MongoDB and ElasticSearch
• Interest/background across sectors (e.g, Financial Services; Health and Life Sciences; Consumer, Retail, Energy, or Transportation)
• A minimum of 6+ years of experience as a data engineer

____

YOUR ATTRIBUTES

Our team comprises all sorts of people from all sorts of backgrounds. We don’t care whether you’re loud or quiet, funny or serious, introverted or extroverted. We do, however, ask that you have:
• An undergraduate or advanced degree from a top academic program
• Willingness to be agnostic to a variety of programming languages (e.g. Python, Java, C#, GoLang) and technical stack based on client requirements
• A genuine passion for technology and solving problems
• A pragmatic approach to solutioning and delivery
• Excellent communication skills, both verbal and written
• A clear commitment to creating impactful solutions that solve our clients’ problems
• The ability to work fluidly and respectfully with our incredibly talented team
• Willingness to travel

____

OUR VALUES & CULTURE

We’re serious about making OW Digital a rewarding, enjoyable, and balanced place to work.

Rewarding work
• We’ve worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman’s status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support and recognition.
• Progressive employment Flat organizational structures, resolute I&D values and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. We are committed to providing our people with growth opportunities via professional training, personal development, and diverse roles and responsibilities.
• Enjoyable days We want our team members to build a career here—and to be happy. That makes us serious about caring for, mentoring, developing and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time.
• Balanced lives Our work is demanding, and we want you to have the best work-life balance you can.

We’ll work with you to accommodate your personal life with flexible hours and the ability to work from home.

____

How To Apply

If you like what you’ve read, we’d love to hear from you. You can submit your CV on our site —please include a short email introducing yourself and what you’re looking for.

The application process will include both technical testing and team fit interviews.

Oliver Wyman is an equal opportunity employer.

Our commitment to diversity is genuine, deep and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative and diverse.

____

About Oliver Wyman

Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman.

Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

The applicable base salary range for this role is $195-$240k.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis.

In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

R_293983

Responsibilities

  • 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
  • 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
  • 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
  • Use of agile and DevSecOps practices for project management and software delivery

Requirements

  • 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 access
  • Fluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties
  • Demonstrated expertise building backend services with some of the following common languages and tools:
  • Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools
  • Spark (Scala and PySpark), HDFS, Kafka and other high volume data tools
  • SQL and NoSQL database technologies, such as MySQL, Postgres, Cassandra, MongoDB and ElasticSearch
  • Interest/background across sectors (e.g, Financial Services; Health and Life Sciences; Consumer, Retail, Energy, or Transportation)
  • A minimum of 6+ years of experience as a data engineer
  • An undergraduate or advanced degree from a top academic program
  • Willingness to be agnostic to a variety of programming languages (e.g. Python, Java, C#, GoLang) and technical stack based on client requirements
  • A genuine passion for technology and solving problems
  • A pragmatic approach to solutioning and delivery
  • Excellent communication skills, both verbal and written
  • A clear commitment to creating impactful solutions that solve our clients’ problems
  • The ability to work fluidly and respectfully with our incredibly talented team
  • Willingness to travel
Oliver Wyman

Oliver Wyman

Technology

Location

District of Columbia, US

Job Type

FULLTIME

Benefits

  • We’ve worked hard to earn our reputation for high quality work
  • Progressive employment Flat organizational structures, resolute I&D values and a commitment to rewarding good work make for a progression path truly based on merit
  • A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time
  • This commitment also leads to opportunities for social impact and community work on company time
  • Balanced lives Our work is demanding, and we want you to have the best work-life balance you can
  • We’ll work with you to accommodate your personal life with flexible hours and the ability to work from home
  • The applicable base salary range for this role is $195-$240k
  • The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements
  • In addition to the base salary, this position may be eligible for performance-based incentives
  • We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs

Loading...

Loading...

Generate a Tailored Cover Letter!

Our AI will analyze your profile and create a personalized cover letter that highlights your relevant skills and experience.

Ready to Apply?

Click the button below to start your application process.

Related Jobs

CyberCoders

1 week ago

Full-time

Data Engineer - Secret Clearance Required

District of Columbia, US View Job

ActioNet

3 weeks ago

FULLTIME

Data Engineer (REMOTE + Local Travel up to 10%)

District of Columbia, US View Job

Prakhar Software Solutions Ltd.

1 week ago

FULLTIME

Senior Data Engineer (Big Data)

Telangana, IN View Job