Manager-Financial Systems
This role is part of Digital Transformation & Operational Governance (DTOG) team within the Legal Entity and International Controllership Organization and serves as a strategic leader responsible for driving Digital Transformation and Generative AI agenda across the CLT organization.
This position requires a highly collaborative and visionary leader with deep technical expertise, strong business acumen, and a passion for innovation. The successful candidate will work closely with Finance, Technology, Risk, Compliance, and Enterprise Architecture teams to drive sustainable operational excellence, establish governance standards, and foster a culture of continuous improvement. The role demands intellectual curiosity, strategic thinking, and the ability to solve complex business challenges through technology-enabled solutions while providing leadership, mentorship, and technical direction to the broader team.
The incumbent will lead the development and execution of enterprise-wide transformation strategy, leveraging automation, analytics, artificial intelligence, and emerging technologies to modernize finance operations and deliver measurable business outcomes. Responsibilities include identifying transformation opportunities, designing scalable technology solutions, and overseeing end-to-end program execution from ideation through deployment and value realization.
Critical Factors for Success
Demonstrated leadership experience in enterprise digital transformation, intelligent automation, operational optimization, and Generative AI implementations, delivering significant business impact.
Strong strategic mindset with exceptional analytical and problem-solving capabilities, able to translate complex business challenges into practical and scalable solutions.
Proven experience in designing and governing enterprise technology architectures that align with business objectives, security standards, and organizational governance frameworks.
Deep expertise in deploying Generative AI and intelligent automation solutions, ensuring scalability, compliance, security, and responsible AI adoption.
Exceptional stakeholder management and influencing skills with a proven ability to build strong partnerships across multiple business functions and levels of leadership.
Extensive experience leading complex programs and managing multiple concurrent initiatives, including oversight of priorities, budgets, dependencies, risks, and delivery outcomes.
Strong technical leadership with expertise across automation, analytics, cloud platforms, and enterprise technologies, coupled with a passion for coaching and developing talent.
Demonstrated ability to evaluate emerging technologies, define technology roadmaps, and recommend innovative solutions that support long-term business strategy.
Outstanding communication and executive presentation skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
Proven capability to foster a culture of innovation, collaboration, accountability, continuous improvement, and high-performance execution within global teams.
Define, develop, and execute the Digital Transformation and Generative AI roadmap aligned to organizational priorities and strategic objectives.
Lead large-scale transformation initiatives that deliver process simplification, operational efficiency, risk reduction, and enhanced business insights.
Design innovative, scalable, and sustainable technology solutions to address complex finance and controllership processes.
Drive enterprise adoption of Generative AI, intelligent automation, and advanced analytics capabilities while ensuring compliance with Responsible AI principles and governance requirements.
Manage executive stakeholder relationships, transformation governance forums, project risks, interdependencies, and strategic communications.
Establish technology standards, reusable frameworks, and solution architecture best practices to enable scalable delivery across markets.
Provide thought leadership on emerging technologies and identify opportunities to drive innovation and competitive advantage.
Partner with Finance, Technology, Risk, Compliance, and Enterprise Architecture teams to develop robust enterprise solutions.
Serve as a technical Subject Matter Expert (SME) in automation, analytics, and AI-enabled capabilities, supporting global market controllership teams in delivering scalable solutions.
Mentor and develop team members, promoting technical excellence, innovation, collaboration, and continuous learning.
Support broader governance, operational excellence, and strategic initiatives within the International Controllership organization, as required.
Educational Qualifications
Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Analytics, or a related technical discipline is required. Master’s degree in Computer Science, Information Systems, Data Analytics, Business Technology, or a related field is preferred.
Demonstrated expertise across Digital Transformation, Intelligent Automation, Analytics, Cloud Technologies, and Generative AI capabilities.
Professional certifications such as PMP, PRINCE2, Agile/Scrum, Microsoft Azure, Power Platform, Google Cloud, Generative AI certifications, or equivalent enterprise technology credentials are highly desirable.
Functional Competencies
Strategic thinking with the ability to identify opportunities for transformation, innovation, and business value creation.
Strong problem-solving and analytical skills with experience delivering technology-enabled business outcomes.
Excellent communication, executive presentation, and stakeholder management capabilities.
Proven experience leading enterprise transformation, automation, data, analytics, and Generative AI programs.
Strong collaboration and relationship-building skills across global, cross-functional, and matrixed organizations.
Expertise in process re-engineering and finance transformation initiatives.
Robust program and project management capabilities with the ability to balance multiple priorities and drive execution.
Ability to influence change, lead organizational transformation, and foster a culture of innovation and continuous improvement.
Strong people leadership and coaching skills with experience mentoring technical and business teams.
Technical Skills & Expertise
Advanced proficiency in Python, SQL, BigQuery, APIs, and enterprise integration technologies, with the ability to design and govern scalable automation, analytics, and AI solutions.
Deep expertise in Microsoft Power Platform, including Power Automate, Power Apps, Power BI, Copilot Studio, AI Builder, and Dataverse for enterprise automation and application development.
Strong understanding of Generative AI technologies, including Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Vector Database, and Responsible AI frameworks.
Expertise in enterprise analytics, data visualization, and cloud-based data ecosystems, including Power BI, Tableau, and modern data platforms.
Advanced knowledge of VBA, Power Query, DAX, SharePoint, Microsoft 365, and related technologies supporting complex financial process automation.
Experience with Robotic Process Automation (RPA) platforms such as Blue Prism and intelligent automation frameworks.
Knowledge of Machine Learning Algorithms and Artificial Intelligence.
Strong familiarity with finance and reporting platforms including Oracle, Essbase/SmartView, Flare, OAS, FODL, Lumi, TM1, Axiom, Cognos, GlobeStar, and Workiva (for internal candidates).
Experience in enterprise solution architecture, systems integration, software development lifecycle (SDLC), DevOps practices, and technology governance.
Strong understanding of Agile delivery methodologies and project management tools, including Jira, Scrum, and Confluence.