Senior Manager - Financial Service Analytics - Payments Domain

The Role:

The person will work closely with in Finance domain to design & build strategy around large data sets using AI/GenAI technologies

- As part of Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/GenAI tools, methods and applications.

- Lead, design, and build strategic thinking on large Data & AI/GenAI transformative deals to drive value, working closely with our clients in Financial Services - Payments Expert.

- They develop specialized expertise-strategic, industry, functional, technical in a diverse project environment that offers multiple opportunities for career growth.

Key Responsibilities:

- Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development.

- For large transformation deals, design robust data and AI strategy by discovering right business use cases and reinventing process design.

- Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies.

- Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements.

- Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain.

- Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities.

- Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization.

- Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.

Knowledge and Skills Required:

- Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends

- Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions.

- Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments.

- Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations.

- Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization.

Qualifications & Experience:

- Master's degree in computer science, Data Science, Business Administration, or a related field. MBA degree (preferred).

- Proven track record of at least 12 years of experience in data and AI strategy, with a focus on driving business value through the strategic application of AI technologies.