About Invesco

As one of the worlds leading independent global investment firms Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities we provide a wide range of investment strategies and vehicles to our clients around the world. If youre looking for challenging work intelligent colleagues and exposure across a global footprint come explore your potential at Invesco.

About the Team:

The Investments Technology Vision Platform team builds and operates a missioncritical system that supports portfolio construction investment analytics and model delivery for Invescos Solutions Investment Center. The platform is used across multiasset quantitative and custom investment strategies and plays a key role in how investment decisions are designed and delivered to clients. The team partners closely with investment professionals quants and data teams to translate complex investment workflows into scalable secure and reliable technology. With engineers based in Boston Atlanta and Hyderabad the team focuses on strong architectural ownership modern cloudnative engineering practices and continuous improvement through automation and AIaccelerated development.

Responsibilities of the Role:

• Own the Vision technical roadmap: set architectural direction prioritize platform investments and align with business outcomes in Asset Allocation Custom Equities/Indexes Global & Quant Strategies.

• Lead a highperforming engineering team: hire mentor and manage engineers; establish clear goals; ensure reliable predictable delivery.

• AIaccelerated engineering: institutionalize daily use of AI tools (e.g. GitHub Copilot Claude ChatGPT AWS Bedrock) for coding tests documentation and prototyping; set review standards for AIgenerated code.

• API & data platform leadership: own domain services API design & caching and highscale ETL (e.g. Morningstar MSCI ESG Aladdin Bloomberg RIMES) with strong SLAs observability and governance.

• Quality & reliability: raise the bar on unit/integration testing CI/CD rollout/rollback patterns SLOs oncall hygiene and incident postmortems.

• Cloud cost & performance (FinOps): drive rightsizing archiving workload scheduling and cost observability to continuously reduce $/feature.

• Security & compliance: ensure platform and AI usage adhere to enterprise security privacy and modelrisk standards.

• Stakeholder partnership: collaborate with investment professionals research data and product to translate business intent into technical outcomes.

• SRE collaboration: partner with the SRE Manager on reliability infra automation and uniform standards across environments.

• Roadmap transparency: maintain a clear backlog delivery plan and communication cadence to business partners and leadership.

Requirements of the Role:

• 10 years in software engineering with 35 years leading teams as an engineering manager or senior manager delivering cloudnative platforms.

• Proven system design expertise (distributed systems data pipelines eventing caching API patterns) and experience running missioncritical services in production.

• AIassisted development fluency: daily use of AI tools for coding test generation refactoring documentation and design explorationplus the ability to evaluate/correct AIgenerated code for security performance and maintainability.

• Handson depth in Python (data/ETL frameworks performance profiling) datastores (SQL NoSQL) and cloud (AWS) including containerization (Docker) and CI/CD.

• Track record improving observability (logging metrics tracing) testing culture and release safety (feature flags canaries rollbacks).

• Strong stakeholder communication; able to translate investment workflows into reliable scalable technical solutions.

• Experience with LLM/AI service integration (e.g. AWS Bedrock Anthropic Claude OpenAI APIs) retrieval/embeddings and prompt engineering patterns in real products.

• Familiarity with fin/quant data and portfolio analytics; comfort partnering with research and data science.

• Background with FinOps tooling and costaware architecture.

• Masters in Statistics Computer Science or other similar advanced degrees from a top tier educational institution preferred

• CFA CPA CIPM CAIA and/or FRM preferred but not required.

The salary range for this position in Boston MA is $185000 - $195000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills experience and location

Full Time / Part Time

Worker Type

Job Exempt (Yes / No)

Workplace Model

Pursuant to Invescos Workplace Policy employees are expected to comply with the firms most current workplace model which as of October 1 2025 includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships collaborate more easily and support each others growth and development.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invescos culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race creed color religion sex gender gender identity sexual orientation marital status national origin citizenship status disability age or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.