Head of Enterprise Data Engineering

About the Team

The Enterprise Data Engineering team is a mission critical function that delivers enterprise capabilities aligned to the data strategy and provides technology enablement for the Chief Data Office (CDO) organization.  Team’s charter includes designing and executing large scale data infrastructure and technology solutions required for legacy transformation, application modernization, cloud adoption, and scaling innovation across multiple business units.  The team will be responsible for building, and supporting data platforms including transactional, operational, reporting, and analytics components.  The leader will provide engineering support to the CDO to implement technology focused solutions to improve data quality and implement efficient, scalable, and self-service solutions. The team will play a key role in fostering a culture of continuous improvement and agility within the technology landscape.

Role Summary

Reporting directly to the Chief Technology Officer and indirectly to the Chief Data Officer, the Head of Enterprise Data Engineering will execute the priorities outlined in the data strategy in support of our business, data and technology objectives.   This Senior Leader will lead an engineering function that leverages agile practices to deliver reliable data solutions to advance our technology modernization and business strategic initiative roadmaps.  The scope of the role includes responsibility for data infrastructure & storage, scalability & resiliency capabilities, tools & technology management, ingestion and distribution mechanisms, engineering operations, and engineering support.

The leader will partner with the CDO organization and collaborate across technical domains to drive implementation and adoption of data platforms, products, and solutions with an ‘enterprise first’ mindset.  The leader will balance addressing tactical solutions with a focus on target state capabilities that position our data assets for the future.   The role is critical to advancing our COO and data strategy and ensuring that our technology investments deliver maximum value.

Responsibilities

• Provides execution leadership and direction to teams on all aspects of data engineering required for BU facing application teams.
• Primary stakeholders include the Chief Data Office and Enterprise Architecture.  In addition will engage/partner with business leaders and Application Portfolio Owners through an established operating model (e.g. Product Owners, Tech Leads). 
• Define execution plans and provide oversight of workstreams for complex projects that require large cross-platform collaborations.
• Works with Data Architecture to ensure technical integrity and consistency of solutions. Influences peer leaders and senior stakeholders across the business, product, and technology teams on data engineering and product development best practices and thought leadership.
• Adheres to Data Architecture’s design patterns, best practices are front and center of technology practices in the organization (“Enterprise First” mindset).
• Creates and manages reusable frameworks for data engineering and establish implementation patterns for data engineering across legacy and target state data solutions.
• Creates an inclusive work environment where employees feel included, valued, and supported.
• Self-organized and proactive in all aspects of people management, including sourcing and hiring talented employees, providing ongoing coaching and feedback, developing employees, recognizing accomplishments, managing risks, and completing daily management tasks.

Qualifications

Required:

• Bachelor's degree or the equivalent combination of education and relevant experience AND
• 15+ years of total relevant work experience and 5+ years of executive management experience

Preferred:

• Advanced degree in computer science, information systems, engineering or equivalent experience.
• 10+ years data engineering people management experience.
• 5+ years of experience in building and leading senior data engineers and technologists.
• Experience with Agile practices for data delivery.
• Deep technical and domain knowledge in asset management industry.
• Strong experience in building enterprise solutions using multiple diverse tools and programming languages including on-prem and Cloud native data platforms.
• Delivery experience building transactional, operational, Warehousing, and reporting/analytics data solutions.
• Thought leadership and execution track record with data microservices, API product architecture and design.
• Technical leadership or architecture experience, in Data Engineering, Data Management, ETL, Big Data Hadoop, AI/ML capabilities.
• Executive level experience in leading data engineering functions with direct responsibilities for supporting application portfolio modernization, and cloud transformation.
• Proven experience in designing and developing on-prem and cloud native relational & analytics databases in support of application workloads.
• Deep expertise in designing and implementing Data Warehousing, Data Lake, Data Fabric, Semantic Layers, ETL and modern data pipelines processes and Big Data solutions (e.g., AWS Aurora, AWS RedShift, Data Bricks, Snowflake, Kafka, Spark, Dremio, Data microservices, API product architecture and design).
• Certification or equivalent expertise in one of the public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools.
• Experience supporting Data Governance, Data Privacy & Subject Rights, Data Quality, Data Lineage, & Data Security practices.
• 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.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.