
Senior AI Strategist
1 day ago
We are seeking a seasoned AI innovator to spearhead strategic solutioning initiatives across our organization. This role involves designing, delivering, and scaling cutting-edge AI/ML solutions for clients in the financial services ecosystem.
You will collaborate with cross-functional teams to bring new ideas to life, drive innovation from the ground up, and ensure successful execution through tight alignment with client stakeholders and internal leadership. This is a highly visible, client-facing role with the opportunity to shape AI strategy for some of the most innovative players in financial services.
Key Responsibilities:
- Lead the design and delivery of AI/ML solutions across financial domains such as banking, payments, digital lending, and credit lifecycle management.
- Collaborate with clients to translate complex business challenges into scalable AI solutions, ensuring alignment with strategic goals and measurable ROI.
- Manage cross-functional delivery teams, ensuring execution excellence and adherence to timelines, quality standards, and client expectations.
- Act as a thought leader and solution architect, continuously identifying opportunities for innovation using emerging technologies and AI algorithms.
- Take ownership of end-to-end AI program delivery, from ideation, POC development, and pilot testing to full-scale production deployment.
- Drive collaborative innovation—partnering with internal and external stakeholders to develop differentiated AI solutions tailored to financial services use cases.
- Provide technical mentorship and strategic direction to a high-performing team of data science consultants and AI engineers.
- Foster a culture of continuous experimentation and intellectual curiosity, with a focus on building from scratch and scaling impactful solutions.
Required Qualifications:
- 7 to 12 years of experience in AI, ML, or analytics, with demonstrated impact in financial services domains.
- Proven experience delivering AI solutions across the credit, payments, banking, or fintech landscape, preferably working with or consulting for credit providers or digital lending platforms.
- Deep understanding of the AI project lifecycle—from business problem formulation to deployment and post-production monitoring.
- Hands-on expertise with cloud platforms (AWS, Azure, GCP) and programming tools such as Python, Spark, and SQL.
- Strong track record of leading technical teams and interfacing with senior client stakeholders, including product heads, data leaders, and transformation executives.
- Bachelor's or Master's degree in a relevant field from a Tier 1 academic institution (Computer Science, Statistics, Mathematics, or equivalent).
Preferred (Good to Have):
- Exposure to Generative AI, LLMs, or agent-based AI frameworks.
- Experience in setting up or contributing to AI-based innovations, internal solution accelerators, or Centers of Excellence (CoE).
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