Lead EXL's emerging technology and innovation agenda for AI and adjacent technologies. The role sets the direction for what EXL watches, evaluates, and builds, and owns the innovation pipeline from first scan to a demonstrated, recommended capability.
Responsibilities
Define the emerging technology agenda aligned with EXL's industry focus (Healthcare, Insurance, Banking, and Financial Services) and the Global Technology strategy.
Maintain the technology radar and propose stage classifications and the criteria for moving a technology between stages, for approval by the VP of Enterprise AI Engineering.
Recommend which emerging technologies deserve effort and which should be retired, with the reasoning recorded.
Set the evaluation framework covering functional fit, scalability, security and compliance, licensing, total cost, vendor viability, and community health.
Review evaluation briefs, prototypes, and go/no-go recommendations before they are presented to the VP of Enterprise AI Engineering.
Requirements
Master's or PhD in Computer Science, AI, Data Science, or a related discipline
Bachelor's degree with equivalent experience
Nice to have: publications in AI or related fields
Nice to have: patents in AI or related fields
Nice to have: open-source contributions in AI or related fields
Global Head of Custody Operations and NAM Lead for Investor Services Operations, providing global strategic accountability for Citi's Custody Operations franchise and senior leadership accountability for North America (NAM) Investor Services Operations.
Compensation
Primary Location Full Time Salary Range: $250,000.00 - $500,000.00
Responsibilities
Lead the Custody Operations organization, delivering operational excellence, regulatory compliance, and strong client outcomes.
Provide senior leadership and oversight for NAM Investor Services Operations, ensuring resilient, timely, and effective execution across critical custody and investor servicing activities.
Architect and execute the global Target Operating Model (TOM), strategically balancing scale across centralized multi-hub Centers of Excellence with direct custody market access across 60+ countries.
Define and execute the strategic vision for Custody Operations and NAM Investor Services Operations, aligning operational priorities with Citi's business, risk, client, and regulatory objectives.
Drive transformation initiatives that improve effectiveness, scalability, resilience, productivity, and service quality.
Requirements
Bachelor's degree in finance, Economics, Business Administration, Engineering, or related field
Nice to have: Artificial Intelligence (GenAI/ML)
Nice to have: predictive analytics
Nice to have: cognitive workflow automation
Senior Full-Stack & AI Engineering Manager - Java & Angular
Senior management level position responsible for accomplishing results through the management of a team or department in Issuer Services Technology, driving applications systems analysis and programming activities through a strong technical foundation in full-stack and AI-driven engineering.
Compensation
€119,760.00 - €179,640.00
Responsibilities
Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for team
Provide strategic influence and exercise control over resources, budget management and planning while monitoring end results
Utilize in-depth knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues
Ensure essential procedures are followed and contribute to defining standards
Integrate in-depth knowledge of applications development with overall technology function to achieve established goals
Requirements
Bachelor’s degree/University degree or equivalent experience
Help meet the technology needs of External Innovation teams within the Corporate Business & Strategy Office (CBSO). Design and deliver AI-enabled solutions to complex business challenges, partnering with stakeholders to translate needs into technical requirements and leading AI initiatives from discovery through delivery.
Responsibilities
Partner with CBSO External Innovation stakeholders and BTS M&A teams to identify business problems and prioritize high-impact opportunities
Build and demonstrate AI prototypes using approved code, AI services, automation tools, application programming interfaces, and enterprise data
Apply AbbVie standards for secure software delivery, responsible AI, privacy, data protection, change management, and the software development lifecycle
Build trusted relationships across business and technology teams, influence decisions, and communicate recommendations, risks, and progress to technical and executive audiences
Define and manage business, functional, and technical requirements
Requirements
Bachelor’s Degree in Information Systems, Computer Science, Life Sciences, or a related discipline
Master’s Degree in Information Systems, Computer Science, Life Sciences, or a related discipline
Internship focused on Digital Finance Transformation and Enterprise Performance Management within Accenture’s global network.
Responsibilities
Maturare esperienza nei principali processi Finance, tra cui pianificazione finanziaria, budgeting, forecasting, reporting e bilancio consolidato
Partecipare a progetti di Digital Finance Transformation ed Enterprise Performance Management, contribuendo all’analisi dei processi as-is, alla definizione delle soluzioni to-be e all’identificazione di opportunità di ottimizzazione e automazione
Supportare l’implementazione di soluzioni tecnologiche in ambito Finance, lavorando con piattaforme quali SAP, Oracle, Microsoft, CCH Tagetik e Anaplan, sia dal punto di vista funzionale sia tecnico
Adottare le più avanzate tecnologie e tool GenAI a supporto dei processi di pianificazione e reportistica
Requirements
Master’s degree in Management Engineering, Economics, Finance or related disciplines
Lead the operational coordination of the deployment and adoption of AI Analytics capabilities across different geographies and domains within the BBVA Group.
Responsibilities
Plan and coordinate the deployment of new capabilities from various platforms
Manage priorities, activities, deliverables, and dependencies
Anticipate risks and blockers, driving resolution
Coordinate activities with AI Tech and AI Analytics teams in geographies and domains
Drive effective adoption through training plans, documentation, and user support
Requirements
University degree in Engineering, Computer Science, Mathematics, Statistics, Economics, ADE, or related disciplines
Nice to have: AI deployment and adoption experience
Analytical contributor within the Total Rewards Center of Excellence, transforming workforce data into actionable insights and supporting enterprise reporting, dashboards, and hypothesis testing for HR and senior leadership.
Responsibilities
Extract, consolidate, reconcile, and maintain workforce data using Oracle HCM Fusion, OTBI, BIP, and Oracle HCM Fusion Data Intelligence
Maintain publication schedule for weekly, monthly, and semi-annual reports
Write and modify SQL scripts to extract and clean workforce datasets
Create, update, and refresh executive-ready dashboards using Oracle Analytics Cloud and Tableau
Utilize Generative AI tools to draft and troubleshoot Excel formulas and SQL code
Requirements
Bachelor's Degree in Business Analytics, Human Resources, Finance, Statistics, Information Systems, or a related quantitative field
Nice to have: Direct experience with Oracle HCM Fusion Data Intelligence (FDI), OTBI, or BIP reporting environments
Nice to have: Experience with enterprise employee engagement or survey platforms (Perceptyx, Qualtrics)
Nice to have: Experience operating within an HR Center of Excellence (CoE)
Act as the strategic bridge between commercial goals and technical reality for Silkrunner, an agentic AI workflow orchestration platform, ensuring high-value deals are won by validating platform fit and ensuring a smooth transition from sales promise to implementation reality.
Responsibilities
Lead deep-dive discovery sessions with IT, Operations, and Business stakeholders to map processes and uncover hidden requirements
Actively qualify (and disqualify) opportunities based on technical feasibility and alignment with Silkrunner
Identify integration requirements, data flows, and edge cases that could impact delivery
Partner with sellers to understand business objectives and connect them to relevant Silkrunner agentic AI applications and platform capabilities
Tailor technical messaging for different buyer personas by industry and function
Requirements
Bachelor's degree in a technical, analytical, or business-related field
Lead the design, build and deployment of AI solutions within BDO’s Digital team, translating business needs into technical AI applications and managing project delivery.
Responsibilities
Lead technical discovery and solution design, translating business needs into prioritised AI use cases, architectures, delivery plans and measurable acceptance criteria.
Design and build AI applications, including generative AI assistants, retrieval-augmented generation, agent-based workflows and machine learning solutions.
Develop data pipelines, APIs and integrations to connect AI solutions to client systems, and lead deployment using sound software engineering practices.
Define and implement evaluation, testing and monitoring for accuracy, reliability, security, latency and cost, embedding access controls and responsible AI safeguards.
Manage project scope, budgets, resources, dependencies and technical risks, working with clients and multidisciplinary teams to take solutions from prototype to production.
Senior leadership role accountable for shaping and driving the innovation agenda in R&D China, leading AI acceleration and delivery of novel AI solutions in clinical development.
Responsibilities
Shape and drive the innovation agenda in R&D China
Partner with TA Heads and clinical leads to translate strategy into a prioritized AI opportunity portfolio
Shape medium-to-long-term innovation roadmap and investment thesis
Assess and prioritize AI use cases based on business value, feasibility, data readiness, regulatory risk, and strategic fit
Drive the end-to-end operating model for the enterprise-wide Innovation Camp / AI Accelerator
Requirements
Advanced degree in a science-related field; MD and/or PhD strongly preferred
Nice to have: Hands‑on experience applying agentic AI to real‑world business challenges
Senior Assistant Vice PresidentNewEXL · India
AI Capability Deployment & Adoption Lead – AI AnalyticsNewBBVA · Madrid, Spain
Specialist.HR People AnalyticsNewADT · Irving, US
Pre-Sales Consultant - SilkrunnerNewspiderSilk · Dubai, United Arab Emirates
Digital - Data, Analytics and AI Manager (AI Specialism)NewBDO UK · Manchester, United Kingdom