Job responsibilities
- Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
- Directly manages multiple areas with strategic transactional focus
- Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
- Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
- Champions the firm’s culture of diversity, equity, inclusion, and respect
- Lead the execution of our firm-wide migration to strategic platforms and data
- Accountable for the delivery and growth of enterprise-grade data platforms with a focus on scalability, availability, capabilities, and performance
- Collaborate with peer teams such as Data Management, Data Publishing, and Data Governance to deliver solutions for key personas, including analysts, data scientists, data engineers, software engineers, AI/ML engineers, operators, and compliance officers
- Elevate the engineering standards within our organization through best practices, coaching, and talent development
Required qualifications, capabilities, and skills
- Formal training, or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization
- Experience developing or leading large or cross-functional teams of technologists
- Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
- Experience leading complex projects supporting system design, testing, and operational stability
- Experience with hiring, developing, and recognizing talent
- Extensive practical cloud native experience
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
- Expertise in systems and software design for large-scale distributed data solutions
- Experience with large scale data platforms
Preferred qualifications, capabilities, and skills
- Experience working at code level
- Familiarity with data processing and development frameworks like Spark, Informatica, and DBT
- Knowledge of open table formats such as Iceberg and Delta, and their catalog solutions (e.g., Polaris, Unity)
- Proficiency in software development technologies (Java/JS/Python/REST) and methodologies (Agile/Scrum)
- Experience in AI/ML and feature engineering is a plus