Data and Analytics Technical Manager

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

RSM is looking for an experienced Hands-On Data and Analytics Technical Manager with expertise in developing, architecting and implementing data and analytics solutions for clients while also advising in developing the strategic data and analytics roadmaps. The ideal candidate must possess a strong background in data architecture, cloud computing, and a deep understanding in emerging digital trends in data, analytics, and AI as well as leading technical and project teams.
As a Data and Analytics Technical Manager, you will be responsible for architecting data and analytics solutions and leading teams to implement these solutions.  You should have deep technical expertise and be able to work with staff and clients to troubleshoot and solve technical challenges.  This role requires a unique blend of technical proficiency, sales acumen, and presales experience to drive business growth and deliver innovative data solutions to our clients.

Responsibilities:

This client-facing delivery role combines hands-on technical architecture with project and team leadership for data, analytics, and AI solutions. Responsibilities include:

• Lead overall project teams and/or technical teams through the definition and implementation of data and analytics solutions.
• Serve as the technical architect for data and AI assessments, translating findings into strategies and roadmaps.
• Conduct rapid data and analytics assessments to identify gaps and inform roadmap development.
• Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and assess their potential impact on the organization.
• Develop and maintain data management, data governance, and data security with best practices, standards, and guidelines aligned with regulatory requirements and industry standards.
• Oversee delivery teams’ application of defined standards and best practices throughout implementation to support high-quality project delivery.
• Act as a “design gate” reviewer, evaluating delivery teams’ designs for quality and adherence to standards.
• Review and provide feedback on delivery estimates, proposed architecture, and solution design before projects begin.
• Collaborate with the sales and business development teams to identify customer needs, develop solution proposals, and present technical demonstrations and presentations to prospective clients.
• Define project requirements, objectives, and timelines with data scientists, engineers, business analysts, and stakeholders.
• Coordinate solution delivery with leaders and teams across Service Lines to maintain a unified, collaborative approach.
• Provide mentorship and guidance to college hires and offshore teams to support high-quality project delivery

Basic Qualifications:

• Bachelor's degree
• A minimum of 10 years in IT, including at least 10 years in Data and Analytics.
• 5+ years of experience designing data models across multiple subject areas and business domains.
• 5+ years of experience in designing and developing business intelligence solutions.
• 5+ years of optimizing data pipeline processes and database structures.
• Deep expertise in at least two of the following major cloud data platforms: Microsoft Fabric, Snowflake, and Databricks.
• Previous experience in Data and Analytics with a consulting firm
• Proven record of leading and implementing data and analytics solutions across multiple clients
• Experience designing production data and analytics solutions for scalability, reliability, security, and cost efficiency, including access controls, monitoring, failure recovery, and documented architecture trade-offs.
• Advanced understanding of various data platforms, tools and cloud capabilities available to support data modernization
• Proficient in BI visualization tools such as Power BI or Tableau.
• Practical understanding of predictive and generative AI, including model limitations, prompting, grounding responses in trusted data, and evaluating outputs; ability to explain when AI is appropriate, compare build-versus-buy options, and communicate trade-offs to clients.
• Proficient in SQL and Python (e.g. PySpark, Pandas)
• Hands-on experience with version control, code reviews, automated unit and integration testing, data quality validation, and continuous integration and continuous deployment (CI/CD) for data and analytics solutions.
• Expertise in defining, managing, and automating data pipelines / workflows.
• Ability to evaluate AI outputs for accuracy, unsupported claims, and bias; protect confidential client data through appropriate tool selection and access controls; and apply human review and documented validation before AI outputs are used in client deliverables or production workflows.
• Excellent communication, presentation, and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
• Excellent critical thinking and problem-solving abilities.
• Team-oriented with the ability to work independently and in virtual teams.
• Passion for solving complex business problems through data-driven solutions.
• Ability to travel up to 35%

Preferred Qualifications:

• Advanced understanding of dataOps, MLOps and DevOps
• Experience with data governance assessments and delivery
• Familiarity with information management and governance tools (e.g., Collibra, Informatica, Talend, Alation, Purview) is preferred, not required.
• Advanced Data and Cloud Certifications
• Proven track record in developing and managing technical teams 
• Strong domain knowledge of any Industry
• Experience working with North American based clients and delivery teams   

At RSM, we offer a competitive benefits and compensation package for all our people. Learn more about our total rewards at .

We believe flexibility and in-person connection both play an important role in how we work and grow. Most roles at RSM follow a hybrid workstyle, which means team members are aligned to an RSM office and come together in person when it best supports clients, teams, development or relationship-building. Some roles may be virtual or primarily on-site based on role requirements, team priorities and client needs.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $112,100 - $225,500