Senior Associate, AI and Data Strategy Consultant

RSM•Chicago, IL

3d•Hybrid

About The Position

As a Senior Associate on RSM’s Data + AI Advisory team, the AI and Data Strategy Consultant executes solution delivery engagements by defining AI and data strategies and vision statements, identifying use cases, and establishing future-state capabilities and associated implementation efforts. The role also involves collaborating effectively with consultants in other regions and practices. The position requires willingness and ability to travel. RSM describes most roles as hybrid, with team members aligned to an RSM office and meeting in person when it supports clients, teams, development, or relationship-building; some roles may be virtual or primarily on-site depending on role requirements, team priorities, and client needs.

Requirements

Bachelor’s or graduate degree with an emphasis in Math, Computer Science, Information Systems, or Business, and 2–5 years of related work experience.
Proven experience building AI and/or data strategies with implementation recommendations.
Concept-based understanding of at least two of the following: data governance concepts; data infrastructure such as platforms, repositories, reporting systems, or pipelines; analytic techniques; machine learning; or AI concepts.
Excellent attention to detail, organization, and follow-up skills.
Ability to work as a team player in virtual teams and independently.
Strong financial and business acumen, including the ability to discuss technology in business terms and translate technical concepts for non-technical stakeholders.
Strong critical-thinking and problem-solving skills, and curiosity about business and technology.
Ability to interact effectively with internal and external resources at all organizational levels.
Willingness and ability to travel.

Nice To Haves

Prior experience in a consulting environment.
Proficiency in defining data and AI operating models.
Prior experience building data, analytic, data science, or AI solutions.
Working knowledge of data architecture.
Relevant training or certifications, such as Azure AI Fundamentals (AI-901), Azure Data Fundamentals (DP-900), AWS Certified AI Practitioner (AIF-C01), AWS Certified Cloud Practitioner (CLF-C02), Generative AI Leader (Foundational), or Databricks Generative AI Fundamentals.

Responsibilities

Execute solution delivery engagements by defining AI and data strategies and vision statements.
Identify AI and data use cases.
Set future-state capabilities and associated implementation efforts.
Collaborate effectively with consultants in other regions and practices.