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.
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