The posting
Job Description
The Opportunity
FIS is transforming how we build and operate Capital Markets technology, moving from vertically aligned products toward a platform-oriented engineering model built on shared capabilities, modern architecture, common standards, and strong engineering accountability. This is an opportunity to shape the next generation of technology supporting some of the world’s most complex financial markets and institutions.
The Head of Product Engineering for Capital Markets leads technology across a portfolio of businesses spanning trading, treasury, risk, lending, asset management, and post-trade. Partnering closely with Product, this leader translates market strategy and client needs into differentiated, resilient, and scalable products. The role owns how these products are architected, built, secured, modernized, and operated, while evolving the portfolio toward reusable platforms and shared capabilities that improve speed, quality, and economics.
A central part of the mandate is AI transformation. The leader will drive how AI changes the way we engineer products, from software development and testing through modernization and operations, while partnering with Product to embed AI capabilities into our products and client experiences where they create meaningful value.
The role combines stewardship of highly critical financial technology with the opportunity to shape its future. That means protecting the reliability, performance, security, and control our clients depend on while simplifying the technology estate, modernizing platforms, reducing duplication, and making thoughtful enterprise-first decisions about where we invest, standardize, reuse, and retire technology.
As a core member of the Technology leadership team, this leader will help shape FIS’s broader technology direction and engineering culture. We are looking for someone who can lead at scale, build exceptional engineering teams, bring together deep domain and technology expertise, challenge established approaches, and translate technology strategy into measurable outcomes for our clients and business.
Strategic Mandate
- Capital Markets Portfolio Transformation: Shape the technology strategy and evolution of the Capital Markets portfolio across trading, treasury, risk, lending, asset management, and post-trade. Simplify the technology estate, scale shared capabilities, and create a more coherent architecture while preserving the domain depth, performance, and flexibility required by clients and markets.
- Platform Strategy & Adoption: Partner with Platform Engineering to shape and accelerate the enterprise platform model, migrating existing products to shared platforms where they create clear technology and business value. Drive adoption of common architecture, engineering standards, reusable capabilities, and development patterns, while ensuring the platform strategy meets the performance, resilience, security, control, and regulatory requirements of Capital Markets.
- AI-Driven Engineering & Products: Lead the AI transformation of Capital Markets across both how we build and operate technology and what we deliver to clients. Embed AI into the software engineering lifecycle to improve developer productivity, quality, modernization, testing, and operations, while partnering with Product to identify and deliver AI-enabled capabilities that create differentiated value for clients.
- Client & Market Confidence: Ensure architecture, engineering, and investment decisions protect the availability, performance, security, control, auditability, and regulatory integrity required by global financial institutions and market participants.
- Execution at Scale: Build a high-performing engineering organization with clear accountability for delivery, engineering health, investment, dependencies, and risk. Establish an operating model that translates product strategy into predictable execution while continuously improving engineering effectiveness, talent, and client outcomes.
Key Responsibilities
· Strategy & Architecture: Define the multi-year Capital Markets technology strategy and target architecture, aligned to Product priorities and enterprise platform direction.
· Portfolio Rationalization: Consolidate duplicated systems, components, data services, and teams; retire obsolete technology and scale reusable capabilities.
· Product Partnership: Shape roadmaps, sequencing, capacity, and build/buy/partner decisions. Surface feasibility, risk, and constraints early, and challenge commitments that threaten stability.
· Platform Adoption: Move portfolios to shared enterprise platforms and identify Capital Markets capabilities that should become enterprise assets.
· Engineering Excellence: Standardize architecture, CI/CD, testing, observability, documentation, and secure development; improve quality, speed, and predictability.
· Modernization & Reliability: Modernize legacy platforms without disrupting market-hour availability, end-of-day processing, client integrations, or regulatory commitments.
· Risk & Resilience: Own security, resilience, regulatory compliance, and remediation in partnership with Risk, Compliance, and the CISO organization.
· Organization & Talent: Lead a global, multi-layer organization through portfolio engineering leaders; organize around shared capabilities and build a strong succession bench.
· AI & Financial Stewardship: Scale responsible AI-enabled engineering and manage budget, capacity, technical debt, infrastructure spend, and investment returns.
Critical Experience
· Deep capital markets expertise, with knowledge of adjacent financial-services domains and their regulatory and operational complexity.
· Experience leading large, multi-layer, globally distributed engineering organizations through leaders of leaders.
· Success owning technology across multiple products or business lines and consolidating duplicated systems and teams.
· Experience delivering mission-critical B2B software for regulated financial institutions in partnership with a separate Product organization.
· Proven platform transformation and multi-year modernization of legacy estates while protecting client and regulatory commitments.
· Technical credibility in cloud, APIs, event-driven and service-based architecture, DevSecOps, observability, and AI-assisted engineering.
· Experience engaging regulators, auditors, client risk teams, and senior client technology leaders on security and resilience.
Leadership Characteristics
· Enterprise-First: Prioritizes shared outcomes and makes difficult platform and portfolio trade-offs for long-term enterprise value.
· Courageous & Influential: Challenges senior stakeholders constructively, sets clear boundaries, and preserves trust.
· Product-Oriented: Acts as a strong Product partner while retaining independent technical judgment and accountability.
· Transformation-Minded: Modernizes legacy technology and culture pragmatically without putting the core business at risk.
· Client-Aware: Understands how clients use the products and makes decisions with client impact and trust in mind.
· Builder of Leaders: Develops strong portfolio leaders, raises the talent bar, and creates durable succession.
· Data-Driven: Defines measurable outcomes, surfaces bad news early, and makes evidence-based decisions.
· Risk & Technology Fluent: Treats resilience as product quality and stays close enough to technology and AI to make sound judgments.
Key Leadership Competencies
· Engineering Vision & Platform Thinking: Builds a clear platform-oriented model using shared capabilities, common software, and reusable infrastructure.
· Product Partnership & Technical Judgment: Converts product priorities into feasible plans and makes strong architecture, sequencing, consolidation, and sourcing decisions.
· Commercial & Business Alignment: Aligns engineering investment to portfolio economics, client value, cost, efficiency, and stability.
· Cross-Functional Leadership: Leads effectively across Product, business, Risk, Security, Operations, and enterprise platform teams.
· Cultural Transformation: Builds one accountable, transparent engineering culture across portfolios and locations.
· Talent & Organization Building: Designs the organization for shared capabilities and develops leaders who can scale the model.
Measures of Success
· Simplification: A measurable reduction in duplicated applications, components, infrastructure, and delivery processes, supported by clear retirement and migration plans.
· Engineering Performance: Improved release predictability, quality, change success, recovery performance, platform adoption, and developer productivity across portfolios.
· Reliability and Control: Sustained service performance, stronger resilience and security outcomes, and timely closure of material incidents, audit findings, and technical risks.
· Modernization Progress: Visible movement from legacy and client-specific solutions toward modern, reusable architectures without disruption to clients or regulatory commitments.
· Leadership and Culture: A strong bench of portfolio and technical leaders, clearer accountability, and one engineering culture grounded in transparency, ownership, and enterprise-first decisions.
Privacy Statement
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EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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