Manager, Management Consulting

Manager, Management Consulting - Trace3

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Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate.

Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it!

Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.

The Manager, Management Consulting will work closely with clients to translate their priorities into innovative data and analytics strategies that support their business priorities and achieve desired outcomes. This position will work on projects that address a wide range of clients’ issues including data strategy, data governance, architecture, technology modernization, business transformation, and analytics adoption. The Manager, Management Consulting will be advising clients on how they can leverage emerging technologies such as cloud services, data science, blockchain, and other capabilities to build competitive advantage.

• Meet with clients to understand their needs, perform analyses, formulate hypotheses, and develop actionable plans
• Collaborate closely with client sponsors and other leaders on design of enterprise-wide platforms to accelerate rapid evaluation and implementation of analytical use cases
• Work with functional and technical teams to identify high-priority use cases and design enterprise-wide data platforms
• Develop enterprise data strategies and roadmaps with recommendations based on client needs, leading practices, and emerging vendor solutions
• Design effective operating models that describe how clients can organize their resources and processes to execute their strategic roadmap
• Lead design and execution of technical capability assessments, analyzing results, and presenting recommendations in an effective, logical manner to the client
• Develop and present logical, creative business cases that achieve client support for Company recommendations
• Deliver thoughtful recommendations through compelling presentations and lead facilitated workshops to influence business decisions
• Plan and manage scope, activities, resources, and budget for assigned projects
• Develop effective working relationships directly with clients and internal colleagues
• Support account teams in identifying opportunities and proposing solutions to clients.

• Minimum of 8 years of work experience in management consulting
• Minimum of Bachelor’s degree, preferably Master’s degree, in Business, IT, Computer Science, Quantitative Methods, Data Science, or related field
• Minimum of 2 years of experience in one or more industries (e.g., healthcare, financial services, technology, manufacturing, etc.)
• Agile delivery leadership (SDLC, testing, release)
• Serve as integrated Program Manager from planning to execution; manage scope, requirements, dependencies, resources, schedule, risks/issues, and communications for assigned initiatives.
• Lead application development teams, coordinating product owners, business/system analysts, engineers, QA, and release management activities across sprints and releases; establish delivery governance (RAIDs, dashboards, acceptance criteria).
• Ensure rigor across the software lifecycle—integrating test strategy (functional, non‑functional, UAT), release readiness, and change/release control practices; drive transparency of status, risks, and burn‑down.
• Practical knowledge of modern data and analytics technologies in the following categories:
• Business Intelligence (Power BI, Tableau, Qlik)
• Machine Learning (R, Python, SAS, SPSS)
• Data Warehouse (SQL, Snowflake, Oracle, etc.)
• Big Data (Spark, Hadoop, No
  
  SQL Databases, Data Lakes, and…