Decision Analytics Manager

Salary: $190,000 - $250,000 per year

Location: Evanston, IL and various, unanticipated locations throughout the United States.

Benefits: Comp package offers min/max salary + COLA, leave policies, bonus incentives, relo, med/den/life ins, retirement benefits.

Job Role and Responsibilities: Directly oversee, manage, and provide technical and quantitative guidance to junior team members, including degreed Associates and Associate Consultants, requiring an advanced level of skill in data science, business analytics, quantitative methodologies, algorithms and data structures, predictive modeling, and statistical analysis (5%). Manage and direct multiple projects, providing thought leadership in defining project scope, guiding junior consultants in the development of strategies and project plans, leveraging analytic and project management skills to analyze and quality check primary and secondary data, perform predictive modeling, and develop reports and recommend operational strategies based on analysis (5%). Provide thought leadership and innovation within projects and practice areas to ensure that project deliverables are completed with an appropriate level of analytical rigor and are delivered on time and within budget (10%). Manage the design and execution of quantitative and qualitative analyses to understand and address key project issues while helping clients to improve their commercial effectiveness (10%). Create detailed project plans, direct and maintain project timelines, and manage internal and external deliverables by developing timelines and guiding quality assurance team members in early stages of project lifecycle to identify technical or data-related issues (5%). Synthesize data findings, develop recommendations, and communicate results by reviewing insights synthesized by teams, recommending additional analysis, and reviewing and providing feedback on team's deliverables, including issues with statistical results, data impact, and others (5%). Conduct issue analysis and develop hypotheses on key client issues by analyzing strategic and tactical methodologies, tracking progress of solutions, and reviewing findings and recommending strategies to senior ZS partners (5%). Oversee implementation of project requests and engage with internal Expertise Centers to develop and deliver best-in-class projects by outlining client needs/requests/inputs for team to incorporate into projects, sharing project updates with client, presenting findings and recommendations, and making final decisions on client deliverables (5%). Lead team status meetings to coordinate sub projects and tasks across team members while ensuring the quality of all project deliverables by assigning and tracking project deliverables and conducting daily meetings to solve quantitative issues, including on hypothesis testing, statistical methodologies, predictive modeling, regression analysis, and others (10%). Manage both internal and external team communication, and communicate any changes in deadlines, scope, and timing to client project managers (5%). Lead project task execution by ensuring progress, organizing project plans and coordinating team meetings (5%). Liaise with Project Leadership to define the project scope and to develop the appropriate approach for the proposed work, taking into account time and expense estimates, including reviewing and tracking budgets and managing team member staffing (10%). Ensure that all projects are appropriately staffed and that team members are productively engaged at all times by reviewing project staffing needs, short-listing candidates for hire, interviewing candidates, and making the final hiring decision (5%). Direct business development and strategy development activities that support sales and marketing business processes by developing financial summaries of projects, sharing information to procurement, and managing account-level policies and institutional changes (5%). Recruit, train, and mentor subordinates, and providing developmental opportunities for team members, and coaching members on hypothesis testing, statistical modeling, etc. (10%). May work at various, unanticipated locations throughout the United States. Domestic travel required 20% of the time.

Contact: Apply online or contact ZS at [redacted] referencing the Req ID above. Position eligible for Employee Referral Program (with incentives). Multiple openings.

Qualifications: Master's degree (or foreign degree equivalent) in Operations Research, Applied Mathematics, Business Analytics, Data Science, Information Technology, Computer Science, Engineering, or a related field and five (5) years of experience in the job offered or in a data analytics-related role. Alternatively, employer will accept a Bachelor's degree (or foreign degree equivalent) in Operations Research, Applied Mathematics, Business Analytics, Data Science, Information Technology, Computer Science, Engineering, or a related field and seven (7) years of progressive, post-baccalaureate experience in the job offered or in a data analytics-related role.

Position requires experience with the following:

1. Managing end-to-end projects;
2. Leading or mentoring team members;
3. Client-facing experience;
4. Data analysis or data mining;
5. SQL or SAS programming;
6. Building scalable Artificial Intelligence (AI) / Machine Learning (ML) solutions to meet business needs;
7. Statistical modeling;
8. Developing forecasting tools for strategic planning; and
9. Business development.

How you'll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.