Apps Development Group Manager

We are seeking an experienced and visionary Engineering Leader SVP level to drive our data engineering and AI strategy The ideal candidate will bring deep technical expertise in data platforms distributed systems and modern programming languages Java Python PySpark along with exposure to AI ML initiatives This leader will be responsible for shaping the technology roadmap leading high-performing engineering teams and collaborating with business stakeholders to deliver transformative solutions at scale Key Responsibilities Strategic Leadership Define and execute the engineering strategy for data platforms advanced analytics and AI adoption Partner with business leaders product owners and data scientists to align engineering priorities with organizational goals Drive innovation in data engineering AI and cloud-native development Technical Leadership Lead the design and development of large-scale distributed data systems leveraging Java Python and PySpark Oversee development of ETL pipelines real-time data processing and advanced data models Guide teams in applying AI ML solutions for business problems ensuring scalability and explainability Ensure best practices in software engineering architecture DevOps and MLOps Team People Leadership Build mentor and retain a world-class engineering team with a focus on high performance and innovation Foster a culture of collaboration continuous learning and accountability Drive organizational transformation by championing AI and modern data practices Execution Governance Deliver enterprise-grade solutions with a focus on security compliance and performance Establish governance for data quality data lineage and model transparency Manage vendor partnerships optimize technology investments and reduce operational costs Qualifications Education Bachelor s or Master s in Computer Science Data Engineering or related field PhD is a plus Experience 15 years of engineering experience with at least 5 years in senior leadership Proven track record of leading enterprise-scale data engineering and AI initiatives Strong hands-on and architectural knowledge of Java Python and PySpark Experience in distributed systems big data technologies Spark Kafka Hadoop cloud platforms Exposure to AI ML lifecycle management MLOps and GenAI solutions Strong understanding of financial services banking domain preferred but not mandatory Excellent communication stakeholder management and executive presence We are seeking an experienced and visionary Engineering Leader to drive our data engineering and AI strategy The ideal candidate will bring deep technical expertise in data platforms distributed systems and modern programming languages Java Python PySpark along with exposure to AI ML initiatives This leader will be responsible for shaping the technology roadmap leading high-performing engineering teams and collaborating with business stakeholders to deliver transformative solutions at scale 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 View Citi s and the poster