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Company Overview:
A leading financial services organization dedicated to innovation and excellence, striving to revolutionize the banking industry through cutting-edge technology and a customer-centric approach. We foster a culture of creativity, collaboration, and continuous improvement, empowering our employees to drive meaningful change and shape the future of finance.
VP / AVP, AI Product Manager, Transformation Group
Business Function:
Within the Transformation Group, we cultivate a culture of excellence, merging scientific rigor with artistic creativity. We immerse stakeholders in design thinking and experimentation, drive innovation, and connect corporate entrepreneurs with start-ups. Our cross-disciplinary team focuses on creating solutions that redefine how people live, work, and play, committed to making banking enjoyable.
Responsibilities:
Product Management: Define and shape the product to effectively drive AI industrialization across the Data Chapter. Align with stakeholder requirements, prioritize initiatives, and maximize the impact of features.
Product Development: Lead product development with a team of developers (primarily located in India or consisting of junior staff), fostering collaboration and driving efficient execution to deliver impactful features on schedule.
User-Centric Approach: Champion data analytics user needs, ensuring product decisions are informed by user feedback and empirical data through report building, data management, and dashboard maintenance. Deliver valuable solutions that enhance user experience.
Technical Integration: Bridge technical gaps by integrating the product with other ADA tooling (ML development & deployment tools) across the ML lifecycle, enabling improved data insights and reducing toil for ALAN users.
AI Governance: Implement features and functionalities for AI Governance within the product, ensuring deep understanding and compliance with audit and MAS requirements.
EVP Data Community: Build, support, and maintain EVP data community initiatives, fostering quality networking and providing a knowledge-sharing platform for Data Chapter members.
Requirements:
Technical Proficiency: 3-5 years of relevant experience.
Software Development: Proven background in software development with expertise in developing systems and products within the financial services industry, supported by a reputable education program.
Programming Languages: Proficiency in R, Python, SQL, and web technologies.
Data Lake Technologies & Architectures: Strong understanding of data lake technologies and architectures.
Tooling & Platforms: Familiarity with tools such as CML, Jupyter Notebooks, duckdb, superset, tableau, and QlikView.
ML Lifecycle, AI Industrialization, AI Governance & ADA: 3-5 years of experience.
AI Industrialization: Strong understanding of the organization’s AI industrialization journey, including technological and infrastructure limitations.
AI/ML Life Cycle: Deep understanding of the AIML lifecycle, enabling effective communication across technical, functional, and business contexts with key product users who are data analytics members.
Data Analytics Expertise: Experience working with Data Scientists, Data Analysts, and Data Translators in a banking context.
AI Governance & Compliance: In-depth understanding of complex risk environments (regulatory, operational, and financial) and the ability to ensure product features effectively capture AI Governance requirements and MAS regulations (e.g., feature, veritas, transparency, model monitoring, fairness).
Product Management & Stakeholder Engagement: 3-5 years of experience.
Product Management: Proven experience in product management, including community building, user engagement, and product adoption. Successful examples of managing an AI product for analytics users in regulatory and governance context.
Stakeholder Management: Exceptional ability to build and manage relationships with both technical development teams and Data Chapter teams across all levels.
Communication & Presentation: Strong communication skills and experience presenting business value metrics and delivering concise advice to senior leaders and board-level management.
Disclaimer
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No Client Relationship: This company is not a client of SpringCube unless stated.
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