About this role
Job title: Sr. Director, Software Engineering – Data Platform & MDM Integration
About the Role The Sr. Director, Software Engineering – Data Platform & MDM Integration leads initiatives critical to the division's data strategy, focusing on data transformation and replacing legacy technical debt. This role partners with product and business teams to deliver scalable data infrastructure and modernization at enterprise scale.
What You'll Do
- Lead strategic MDM integration initiatives - Architect and oversee seamless, high-volume data integration between Databricks lakehouse and NeoXam MDM platform, establishing foundational data architecture for multi-billion-dollar index-linked investment products
- Drive advanced cloud data architecture - Utilize Databricks features including Unity Catalog, Delta Live Tables, and Serverless compute to optimize data pipelines and maximize performance for massive-scale financial datasets
- Pioneer AI/ML automation solutions - Implement Databricks Mosaic AI and agentic frameworks to automate data transformation, quality assurance, and anomaly detection across the entire conversion lifecycle
- Build and scale high-performing engineering teams - Lead, manage, and grow multiple teams of product-focused software and data engineers while mentoring their professional and technical development
- Modernize legacy infrastructure - Spearhead mission-critical migration of legacy assets and terabytes of data to modern AWS cloud ecosystem, breaking monolithic applications into microservice architectures
- Champion engineering excellence and innovation - Foster a culture of cutting-edge technology adoption, continuous improvement of software engineering practices, and delivery of scalable, resilient solutions
What We're Looking For
- Bachelor's degree in Computer Science, Engineering, or related technical field
- Minimum 9 years of experience in software engineering and data platform development with proven track record in enterprise-scale solutions
- Minimum 7 years of people management experience leading technical teams and driving organizational growth in fast-paced environments
- Advanced expertise in cloud data platforms such as Databricks, Snowflake, or similar, with hands-on experience in data lakehouse architectures and ETL/ELT processes
- Strong experience with cloud infrastructure including AWS services or equivalent cloud platforms
- Proven leadership in large-scale data migrations and system modernization initiatives, with experience managing complex technical transformations
- Additional Preferred Qualifications:
- Master's degree in Computer Science, Software Engineering, or related technical discipline with 13+ years of progressive software development and data architecture experience
- Deep expertise in Master Data Management platforms such as NeoXam, Informatica MDM, or IBM InfoSphere, with proven success integrating enterprise data platforms
- Advanced AI/ML and Generative AI experience including hands-on work with machine learning frameworks and LLM implementation using tools like LangChain, Hugging Face, or similar platforms
- Extensive experience with Big Data technologies including distributed computing frameworks and modern data processing architectures
Compensation & Benefits
- Base salary range: USD 185,000 - 265,000 per year
- Eligible for an annual incentive plan; not eligible for additional compensation such as an annual incentive bonus or sales commission
- Eligible to receive additional S&P Global benefits