About Invesco

As one of the world’s 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 you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

The Department

Our mission is to create world-class, client-centric technology solutions that drive competitive advantage, grow our global business, and deliver an investment experience that helps people get more out of life. This mission is fueled by inventive and cohesive teams, which thrive on collaboration and shared trust and demonstrate the diversity of thought. Our success is driven by our people, which is why we invest heavily in our talent, promoting continuous learning and development, offering opportunities to work with emerging technologies, and creating the space to discover.

Our high-performing, OneTech team is seeking candidates who innovate, operate effectively in an agile environment, challenges the status quo and are driven to succeed.

Your Role

Are you ready to be a part of the Financial Services Industry, where cutting-edge technology can deliver a competitive advantage? As a Senior Principal Solutions Architect, Data Governance, you are responsible for designing and implementing enterprise infrastructure and platforms required for automation and advancement of Data Governance. You will work with cloud engineers and application teams to design and deploy infrastructure required. You’ll also deliver proof-of-concept projects, topical workshops, and lead implementation projects. Our team collaborates across the entire Invesco organization to bring Data Governance access and capabilities to product and service teams, to get the right solution delivered and drive future innovation based upon our business needs.

You will be responsible for:

• Translate complex business requirements into scalable, secure, and innovative data architecture by partnering with cross-functional stakeholders—including product owners, engineering leads, enterprise architects, and operations teams—to design and implement enterprise-grade solutions. This includes leading design reviews, mentoring delivery teams on best practices, and leveraging approved platforms and tools to drive strategic outcomes and operational efficiency.

• Provide strategic leadership across business, delivery, and architecture teams to drive alignment between enterprise objectives and technical execution.

• Develop and communicate high-impact architectural artifacts—including solution diagrams, narratives, and reference models—that clearly articulate how proposed designs meet business objectives while conforming to enterprise technology governance.

• Lead architecture review sessions, influence stakeholder alignment across business, engineering, and governance teams, and ensure traceability from requirements to implementation through well-documented design decisions.

• Cultivate strategic partnerships and foster alignment across key stakeholder groups—including business leaders, application owners, engineering, operations, and infrastructure teams—to ensure architectural solutions are well-integrated, scalable, and aligned with enterprise priorities.

• Lead cross-functional collaboration forums, drive consensus on solution design decisions, and serve as a trusted advisor in bridging business needs with technical execution.

• Apply enterprise-level architectural thinking to design solutions that holistically align with overarching business strategies and objectives.

• Anticipate future growth, integration needs, and evolving technology landscapes to architect scalable, resilient, and adaptable systems that ensure long-term sustainability, performance, and governance compliance across the organization.

• Design and implement scalable metadata integration strategies across diverse data sources and analytics platforms, including the development of automated ingestion workflows and centralized metadata repositories.

• Design and implement automated data classification and tagging frameworks that align with enterprise governance policies and regulatory compliance standards. Collaborate with data governance, security, and engineering teams to embed these capabilities into data pipelines and platforms, ensuring consistent metadata management, auditability, and risk mitigation across the data ecosystem.

• Provide strategic leadership in responsible and ethical AI deployment by partnering with Legal, Privacy, Cybersecurity, and Risk teams to embed governance, compliance, and accountability into AI and data-driven solutions. Lead enablement programs for data stewards, analysts, and AI practitioners to promote responsible data and AI usage.

• Establish enterprise-grade feedback mechanisms and data quality dashboards to drive continuous improvement and proactive exception management across the data lifecycle.

• Lead the design and implementation of data observability frameworks that monitor data health across ingestion, transformation, and consumption layers.

• Champion the adoption of observability practices across engineering, analytics, and governance teams—ensuring visibility, accountability, and operational resilience in data-driven decision-making.

The experience you bring:

• 10+ years of experience in enterprise architecture or solution design, preferably in financial services or asset management.

• Deep expertise in cloud platforms (AWS, Azure), data platforms (SQL Server, Snowflake, etc.), and integration technologies.

• Hands-on experience leading the design, development, and deployment of business software at scale

• 3-5 years proven track record as an AWS Solutions Architect or Senior Cloud Engineer role

• Experience with software development life cycle (SDLC) and agile/iterative methodologies required

• Experience with IT compliance and risk management requirements (eg. security, privacy, GDPR)

• Infrastructure automation through DevOps scripting (E.g. Terraform, Python, PowerShell).

• Data Governance, Data Quality, and Data Observability experience including capability implementation and integration in a large corporation

• Ability to work in a team environment. Hybrid model with 4 days in office per week.

• Ability to manage multiple Data Governance projects simultaneously, prioritize work, and meet deadlines.

• Relevant certifications such as TOGAF/Agile are preferred.

• A Master's of Business Administration in a related field is helpful or commensurate relevant work experience

Full Time / Part Time

Worker Type

Job Exempt (Yes / No)

Workplace Model

Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s 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 other’s 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.

Invesco's 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.