Key Responsibilities
1. Strategic Technology Roadmap & Architecture
- Define and Execute Vision: Establish and drive the strategic technology architecture roadmap for the Client Financials portfolio, ensuring alignment with long-term business outcomes.
- Technical Direction: Provide strategic direction and critical input into key technology decisions to ensure a scalable, robust, and future-proof buildout.
- Solution Design: Demonstrate deep technical acumen to collaborate with and direct a strong engineering team in making critical architectural and design decisions.
2. Cloud Transformation & Data Engineering
- Cloud-Native Engineering: Lead the design, development, and scaling of enterprise-grade, cloud-native data services on AWS.
- Databricks & Spark Migration: Drive the migration of legacy data platforms to Databricks, delivering high-performance Spark and PySpark solutions.
- Platform Optimization: Optimize system performance, capacity, and infrastructure efficiency to support data-heavy, high-throughput applications.
- AI-Enabled Analytics: Deliver AI-enabled operational and analytics platforms to unlock advanced insights and predictive capabilities.
3. Stakeholder Management & Business Alignment
- Methodology Representation: Present and represent the firm's client returns methodology to senior stakeholders across diverse business and technology teams, including Markets, Finance, Risk, Banking, Performance Management, and ICM.
- Impact Analysis: Clearly articulate and present the technology platform's impacts on revenue, expense, GSIB (Global Systemically Important Banks), and tax calculations.
- Relationship Building: Foster strong, collaborative partnerships with senior business and technology leaders to align engineering delivery with business priorities.
4. Engineering Leadership & Agile Delivery
- End-to-End Accountability: Take full and direct accountability for the solution delivery lifecycle of the Client Financials portfolio.
- Team Leadership: Lead, mentor, and scale a high-performing team of expert data and software engineers, fostering a culture of technical excellence, quality, and velocity.
- Agile Execution: Drive agile execution across multiple complex data engines, calculation engines, and multi-dimensional analytics platforms.
Qualifications & Experience
Experience & Leadership
- 10+years of Proven Experience: Extensive background in software engineering and applications development, with a proven track record of owning and delivering large-scale application portfolios for complex business functions.
- Enterprise Scale: Demonstrated success in building, scaling, and optimizing enterprise data services and driving large-scale cloud transformation initiatives.
- Strategic Influence: Proven ability to influence technology strategy and build strong relationships with senior business and technology partners.
Technical Expertise
This individual possesses a robust technical background with deep expertise in cloud-native, Big Data, and analytics platforms, essential for driving complex financial solutions.
- Cloud & Big Data Platforms: Deep expertise in AWS cloud-native architecture, coupled with strong hands-on and architectural experience in Databricks, Apache Spark, and PySpark. Proficient in the entire Hadoop ecosystem (HDFS, Hive, Sqoop) for Big Data environments.
- Database & Analytics: Solid exposure to SQL Server and Oracle databases, with strong skills in query writing for data validation and manipulation. Proven experience in building high-performance calculation engines and multi-dimensional analytics platforms, including complex calculations.
- Tools & Practices: Skilled with Git for version control; experienced with JIRA and Confluence for project management. Familiarity with DevOps practices and CI/CD pipelines is also present.
- Reporting & Emerging Tech: Some exposure to Tableau for BI reporting. Familiarity with AI/ML-enabled operational and analytics platforms is highly desirable.
Communication & Domain Knowledge
- Executive Communication: Exceptional communication and presentation skills, with the ability to explain complex technical architectures and financial methodologies (e.g., revenue, expense, GSIB, tax) to senior executives.
- Financial Domain: Strong understanding of financial business technology, risk management, performance management, or capital markets is highly preferred.
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
------------------------------------------------------
Job Family Group:
Technology
------------------------------------------------------
Job Family:
Applications Development
------------------------------------------------------
Time Type:
Full time
------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.
------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
