Business Consultant-AI/ML
RemoteUnited States
Job Summary
Structure high-value business problems and design innovative solutions by integrating machine intelligence with deep domain expertise. Provide thought leadership to clients at the executive level, guiding them in refining their business strategies through the adoption of analytical solutions. Develop Proof of Concepts (PoCs) in collaboration with client stakeholders, aligning analytics solutions with their business pain points and requirements. Manage client expectations throughout engagements to cultivate and strengthen client relationships. Take ownership of end-to-end delivery for both large and complex Analytics & AI-led transformation programs and small, agile business insights initiatives. Innovate and create new data assets while driving their adoption in the market. This role supports the Business Analytics Team's mission to drive analytical excellence in the CPG & Retail domain.
Required Qualifications
- Minimum of 8 years of experience in the analytics industry
- Strong focus on the CPG & Retail sector
- Deep understanding of industry challenges and data complexities
- Strong analytical thinking
- Proven track record of hands-on experience in solving complex analytics problems
- Expert knowledge of advanced statistical techniques such as Decision Trees, regression, correlation, etc.
- Effective communicator with an executive presence
- Capability to articulate complex programs to both technical and non-technical audiences
- Exceptional presentation skills
- Ability to demonstrate software products effectively
- Demonstrated experience in handling clients
- Experience independently delivering projects in the Retail and CPG sectors
- Proven ability to recruit and nurture talent
- Experience transforming talent into market-facing specialists and consultants
- Experience in building and fostering a community of practice focused on analytics or AI
Desired Qualifications
- Experience with cloud-based development and deployment of solutions on platforms such as AWS, GCP, or Azure
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