Job Description
We are seeking an accomplished Head of Engineering to lead the delivery modernization and scale of our Wealth Technology platforms. This leader will be responsible for building and leading high-performing engineering organizations that deliver innovative secure and scalable technology solutions supporting advisors clients and business partners across the wealth management ecosystem.
The ideal candidate brings deep experience leading large-scale engineering organizations modernizing mission-critical platforms and partnering closely with product operations compliance and business stakeholders to drive growth and operational excellence. This leader will play a key role in advancing our cloud data and AI strategy while fostering an engineering culture centered on innovation quality and continuous improvement.
Key Responsibilities
Engineering Leadership & Organizational Excellence• Lead and develop a global engineering organization consisting of software engineering quality engineering architecture platform engineering and engineering management teams in support of a financial services business - ideally for the wealth and asset management division.• Build mentor and retain high-performing engineering leaders and teams across multiple
locations and time zones.• Establish a culture of accountability innovation technical excellence and customer-centric delivery.• Drive organizational effectiveness through engineering best practices talent development succession planning and performance management.
Technology Strategy & Platform Modernization• Partner with the Head of Wealth Technology to define and execute the technology vision engineering strategy and multi-year modernization roadmap.• Lead transformation of legacy platforms into scalable cloud-native architectures leveraging microservices APIs event-driven design and modern engineering practices.• Ensure platforms meet demanding requirements for availability resiliency performance scalability and security.• Champion engineering standards architecture governance and technology lifecycle management.
Wealth Management Platform Delivery• Oversee engineering delivery for advisor-facing and client-facing wealth management platforms including trading portfolio management retirement planning reporting digital experiences and operational workflows.• Drive platform capabilities that improve advisor productivity client engagement operational efficiency and business growth.• Collaborate with product management and business stakeholders to translate strategic priorities into execution plans and measurable outcomes.
Data Analytics & AI Innovation• Lead engineering efforts supporting enterprise data platforms analytics capabilities and AI-driven solutions.• Partner with data and product teams to build scalable data architectures enabling self-service analytics advanced reporting machine learning and generative AI use cases.• Drive adoption of modern cloud data platforms data lakehouse architectures and AI technologies to enhance advisor experiences and business decision-making.• Evaluate emerging technologies and identify opportunities to create competitive differentiation through innovation.
Cloud DevOps & Platform Engineering• Advance cloud-native engineering practices across AWS and modern containerized environments.• Drive adoption of CI/CD pipelines automated testing infrastructure automation observability and Site Reliability Engineering practices.• Establish reusable platform services and developer productivity capabilities that accelerate engineering delivery and improve quality.
Risk Compliance & Operational Excellence• Ensure technology solutions comply with regulatory security privacy and operational risk requirements.• Partner with Information Security Risk Compliance and Audit teams to maintain robust controls and governance frameworks.• Establish operational metrics and service level objectives to continuously improve platform reliability and customer experience.
Qualifications
Required Experience• 15+ years of progressive technology leadership experience including leadership of large-scale software engineering organizations.• Experience leading organizations of 75+ engineers across multiple disciplines and geographic locations.• Proven track record modernizing enterprise platforms through cloud-native architectures microservices APIs and event-driven systems.• Deep experience delivering customer-facing platforms in wealth management capital markets banking fintech retirement or financial services.• Demonstrated success partnering with executive stakeholders to align technology investments with business outcomes.• Experience managing large-scale digital transformation initiatives with measurable business impact.
. Must have Series 99 or ability to obtain it within 6 months.
Technical Expertise• Strong understanding of modern cloud architectures preferably AWS.• Experience with cloud technologies including Kubernetes EKS ECS serverless architectures and distributed systems.• Expertise in modern software development practices CI/CD DevOps observability and engineering excellence frameworks.• Experience with enterprise data platforms data lakehouses analytics ecosystems and AI/ML platforms.• Familiarity with technologies such as Java Python React Kafka Snowflake and modern data and integration platforms.• Understanding of generative AI technologies large language models and enterprise AI adoption strategies.
Leadership Competencies• Strategic thinker with strong execution capabilities.• Exceptional communicator capable of influencing across executive business and technical audiences.• Proven ability to lead through organizational transformation and change.• Strong customer orientation with a passion for delivering business value through technology.• Ability to balance innovation delivery operational excellence and risk management.
Preferred Qualifications• Experience supporting advisor platforms trading systems portfolio management retirement platforms lending solutions or wealth management operations.• Experience implementing enterprise AI solutions and data-driven products.• Experience building cloud-native SaaS platforms serving large customer bases and high transaction volumes.• Advanced degree in Computer Science Engineering Information Systems or related discipline.
What Success Looks Like
In the first 12-24 months the Head of Engineering will:• Accelerate modernization of core wealth management platforms.• Improve engineering productivity quality and delivery predictability.• Advance cloud-native architecture adoption and platform resiliency.• Expand enterprise data and AI capabilities supporting advisor and client experiences.• Strengthen engineering talent leadership and organizational effectiveness.• Deliver measurable business outcomes through scalable innovative technology solutions.
This role offers a unique opportunity to shape the future of Wealth Technology by leading world-class engineering teams and delivering transformative capabilities for advisors clients and the broader business.
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MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process please contact us and share the specifics of the assistance you need.
California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA) please visit our California Consumer Privacy Act Disclosures page.
Salary Range: $185300-$243100
Skills Required
- 15+ years of progressive technology leadership experience
- Experience leading organizations of 75+ engineers across multiple disciplines and geographies
- Proven track record modernizing enterprise platforms via cloud-native architectures microservices APIs and event-driven systems
- Deep experience delivering customer-facing platforms in wealth management capital markets banking fintech retirement or financial services
- Demonstrated success partnering with executives to align technology investments with business outcomes
- Must have Series 99 or ability to obtain it within 6 months
- Strong understanding and hands-on experience with AWS
- Experience with containerization and orchestration (Kubernetes EKS ECS) and serverless architectures
- Experience with CI/CD DevOps practices automated testing infrastructure automation and observability/SRE practices
- Experience with enterprise data platforms data lakehouse architectures analytics ecosystems and AI/ML platforms
- Familiarity with Java Python React Kafka and Snowflake
- Experience managing large-scale digital transformation initiatives with measurable business impact
- Experience supporting advisor-facing and client-facing wealth management platform components (trading portfolio management retirement reporting)
- Experience implementing enterprise AI solutions generative AI or large language model initiatives
- Experience building cloud-native SaaS platforms serving large customer bases and high transaction volumes
- Advanced degree in Computer Science Engineering Information Systems or related discipline
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Date Posted
07/08/2026
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