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Senior data science role, metro location, and known analytics firm create strong candidate competition.
Core ML/MLOps skills transfer across industries, but client leadership and program governance need domain familiarity.
Explicit 7-9 years requirement plus listed professional certifications and senior client leadership raise strictness.
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Act as primary client partner for analytics engagements, defining problems, success criteria, and managing executive communications.
Own scope, planning, and delivery of multiple AI/ML workstreams; track timelines, budgets, and ensure on-time delivery with benefit realization.
Lead end-to-end AI/ML model development and deployment, including design of predictive, prescriptive, and generative AI solutions with MLOps pipeline architecture and best practice adoption.
7-9 years of relevant work experience.
Professional certification mandatory (CA, CPA, CISA, or CIA).
Experience with end-to-end AI/ML development, deployment, and program governance.
Work Experience Required: 7-9 years as explicitly mentioned in the JD.
Experienced in client-facing roles managing analytics programs and executive communications.
Strong background in AI/ML modeling, including predictive, prescriptive, and generative AI, with MLOps expertise.
Proven ability to lead multi-workstream delivery and value tracking in complex analytics projects.