Director, Data Science

Are you ready to make an impact?

West Monroe is seeking a Director, Data Science for our rapidly growing Technology and Experience practice.

As a Director Data Science, you will join a Leadership Team focused on cultivating teams that leverage data to unlock actionable insights for our clients, while mentoring the next generation of data science leaders at West Monroe. This role entails significant responsibility in shaping and delivering our Analytics vision; candidates should be passionate about what they do and be prepared to embrace West Monroe’s fast-growing and entrepreneurial environment.

This leadership role will have three areas of responsibility:

Practice Development

• Collaborate with national and local leadership within Data Engineering & Analytics practice and across West Monroe (WM) industry and functional practices, to develop and deliver multi-disciplinary, data-driven offerings
• Actively lead innovation activities, often in partnership with industry and functional experts and data engineers, to expand and enhance WM’s Analytics solutions and capabilities
• Develop knowledge of emerging data science techniques; socialize and teach concepts to WM data science community
• Lead, mentor and grow consultants and actively participate in the career advisory and performance management process
• Actively participate in recruiting and retaining top quality data scientists

Client Delivery

• Provide quality assurance and conduct frequent touch bases with client executives to ensure value is realized and understood from our engagements
• Manage and influence multi-disciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver impactful results for our clients
• Develop and deploy data-driven offerings and accelerators focused on addressing industry-specific challenges
• Provide leadership and mentorship for teams of data scientists on analytical techniques, and guide the translation of insights into actionable recommendations across multiple projects
• Excellent communication skills to be able to work with client representatives at all levels
• Establish and maintain relationships with external data and analytics vendors

Business Development

• Engage with business partners across the firm to identify and cross sell opportunities
• Cultivate new and existing client development opportunities related to data and analytics
• Understand client needs to translate challenges and objectives into proposals
• Develop thought leadership in leading analytics techniques, including how to apply emerging ML techniques to deliver commercial results
• Attend conferences and networking events to further WM’s brand and market perception related to data and analytics

Qualifications

• Preferred Master's degree or PhD in a quantitative discipline (e.g., computer science, applied statistics, mathematics, econometrics, engineering) or equivalent experience
• 10+ years of technical experience in machine learning and statistics related work
• 5+ years of experience managing data scientists
• Demonstrated ability to apply advanced analytical and data science methods to commercial scenarios
• Extensive programming experience in Python or R
• Extensive experience designing and deploying machine learning solutions, including experience with leading cloud platforms (AWS, GCP, Azure) and corresponding machine learning services
• Ability to collaborate with WM team members across the firm (e.g., levels, geographies, practices)
• Strong presentation and communication skills, including the ability to explain complex technical concepts to non-technical audiences
• Entrepreneurial spirit and willingness to innovate on new and emerging solutions
• Legally authorized to work in the United States without limitation
• Ability to Travel, as required based on client and practice demands (expected to be 30%)

Based on pay transparency guidelines, a reasonable expectation for the salary range for this role is listed below. Information on our competitive total rewards package, including our bonus structure and benefits is here.  Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.​ Employees in proximity of our Seattle, Washington DC, Los Angeles, New York, and San Francisco offices will have a geographic premium applied to this salary sc