Website:
firstcitizensindia.com
Job details:
FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company’s over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients’ greatest ambitions.
Job Description
Value Proposition
- Build and lead a substantive Applied AI delivery organization at First Citizens India, helping define how the bank develops and scales AI capabilities for the next decade.
- Drive enterprise impact across data science, machine learning, generative AI, modern data architecture, and AI governance while partnering closely with U.S.-based Enterprise AI leadership.
Job Details
Position Title: Director, AI & Advanced Analytics
Career Level: L4
Job Category: Director
Role Type: Hybrid
Job Location: Bangalore
About The Team
First Citizens Bank is building enterprise AI capabilities designed to last, grounded in sound data, scalable architecture, responsible adoption, and measurable business value. Across the General Bank, Commercial Bank, and Enterprise Functions, the bank is maturing an ecosystem spanning modern data platforms, AI architecture, applied data science, generative AI, Responsible AI governance, portfolio management, and adoption.
This is an early but accelerating chapter where architecture standards, delivery patterns, platform capabilities, governance frameworks, and portfolio routines are being established in parallel. The decisions made in the coming years will define how the bank builds AI into the future.
The Enterprise AI organization is building FCI into a trusted Applied AI delivery capability with meaningful technical ownership and accountability for outcomes.
Impact (Job Summary / Why This Role Matters)
The Director, AI & Advanced Analytics will lead the Applied AI delivery capability at FCI and be accountable for converting high-value AI and advanced analytics opportunities into well-managed, high-quality delivery outcomes.
This role spans traditional data science, machine learning, generative AI, and enterprise AI architecture. The leader will partner with U.S.-based Enterprise AI Architecture teams to define and execute modern data and AI architecture patterns, enable AI/ML and GenAI workloads on secure enterprise platforms, and translate prioritized AI opportunities into executable technical plans.
The role serves as the FCI technical anchor for Enterprise AI, ensuring governance, Responsible AI expectations, delivery discipline, and adoption are embedded throughout the lifecycle.
Key Deliverables (Duties & Responsibilities)
Applied AI (AI/ML and GenAI) Delivery Leadership
- Lead FCI delivery for strategic Applied AI and advanced analytics use cases across data science, machine learning, and generative AI.
- Establish disciplined delivery practices including problem framing, experimentation, evaluation, documentation, deployment readiness, and monitoring.
- Provide technical direction across solution architecture, model selection, prompt strategies, evaluation plans, and implementation approaches.
- Establish reusable standards and patterns for model lifecycle management, vector databases, RAG, AI orchestration, LLMOps, and observability.
- Evaluate emerging AI technologies and vendor capabilities through a fit-for-purpose lens.
Enterprise AI Delivery, Portfolio Interlock & Adoption
- Partner with Enterprise AI leadership and AI Portfolio Management to convert prioritized AI opportunities into executable technical plans.
- Provide visibility into data readiness, platform dependencies, governance requirements, and production-readiness risks.
- Identify reusable technical patterns and portfolio-level learning that inform enterprise architecture decisions.
- Ensure delivered capabilities are measurable, usable, supportable, and aligned to business workflows.
Responsible AI, Governance, Security & Controls
- Build governance, security, privacy, compliance, and auditability expectations into architecture and delivery practices.
- Partner with Responsible AI, Model Risk Management, Enterprise Risk, Cybersecurity, Privacy, Compliance, Legal, and Architecture Review teams.
- Establish architecture guardrails and implementation standards for secure use of data and AI.
- Promote reusable control patterns across AI and data platforms.
- Balance innovation with effective risk management.
People Leadership & Capability Building
- Lead, coach, and develop architects, technical specialists, and Applied AI practitioners.
- Build a culture of technical excellence, disciplined execution, ownership, and collaboration.
- Establish review, documentation, quality assurance, and knowledge-sharing practices.
- Manage capacity aligned with Enterprise AI priorities and roadmaps.
- Communicate architecture decisions, trade-offs, dependencies, and risks to leadership and stakeholders.
Skills & Qualifications
Functional Skills
- Enterprise AI strategy and delivery leadership.
- Executive communication and stakeholder management.
- Portfolio planning, dependency management, and delivery governance.
- Business acumen and technology roadmap development.
- Cross-functional collaboration across global and matrixed teams.
- People leadership, coaching, and capability building.
Technical Skills
- Statistical modeling, machine learning, NLP, generative AI, experimentation, evaluation, monitoring, and production delivery.
- Enterprise-scale AWS and Snowflake-based data platforms or equivalent cloud-native technologies.
- Data lakes, lakehouses, cloud data warehouses, analytics platforms, and AI/ML enablement patterns.
- Batch, streaming, event-driven, API-based, and real-time data processing.
- Data modernization, cloud migration, and platform transformation.
- ETL/ELT, metadata management, lineage, observability, and data quality.
- MLOps, LLMOps, Retrieval-Augmented Generation (RAG), vector databases, semantic search, graph-based retrieval, orchestration, and observability.
- Data governance, security, privacy, compliance, and risk management
Qualifications
Required
- 12+ years of experience in Data Architecture, Data Engineering, Enterprise Architecture, Applied AI, Data Science, Analytics Engineering, or related disciplines.
- 5+ years leading architecture teams, technology organizations, AI/data delivery teams, or transformation initiatives.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
Preferred
- Master’s degree in Computer Science, Engineering, Data Science, Business Administration, or related field.
- Experience with AWS, Snowflake, enterprise AI platforms, AI/ML and GenAI technologies.
- Experience in highly regulated industries such as banking, financial services, insurance, or healthcare.
- Experience partnering with portfolio management, product management, or business-facing delivery teams.
Leadership Qualities
- Strategic leader capable of balancing long-term architecture vision with near-term delivery outcomes.
- Strong executive communication and stakeholder management skills.
- Ability to translate business strategy and AI priorities into practical architecture and technology roadmaps.
- Collaborative and influential across matrixed organizations.
- Thrives in build-phase environments where standards and delivery evolve simultaneously.
- Proven ability to lead complex transformation programs and develop high-performing technical teams.
Relationships & Collaboration
This Role Works Closely With
- Enterprise AI Leadership
- AI Portfolio Management
- Enterprise AI Architecture
- Responsible AI
- Model Risk Management
- Enterprise Risk
- Technology Risk
- Cybersecurity
- Privacy
- Compliance
- Legal
- Architecture Review Teams
- U.S. and FCI Delivery Teams
The role operates within a global delivery model and is expected to establish effective collaboration, delivery discipline, decision-making processes, and technical ownership across geographically distributed teams.
Accessibility Needs
We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g., application, interviews, onboarding), please let us know, and we will work with you to ensure a seamless experience
Equal Employment Opportunity
FC Global Services India LLP (First Citizens India) is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive and accessible environment and prohibit all forms of discrimination on the basis of gender, religion, caste, disability, sexual orientation, economic status or any other characteristics protected by the law. We strive to foster a safe and respectful environment in which all individuals are treated with respect and dignity. Our EEO policy ensures fairness throughout the employee life cycle.
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