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Pnc Financial Services Group Engineering

To provide financial services that help people achieve financial well-being by leveraging technology to create the leading bank of the future

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To provide financial services that help people achieve financial well-being by leveraging technology to create the leading bank of the future

Strengths

  • PLATFORM: Robust digital banking platform with high user adoption
  • TALENT: Strong engineering culture with specialized fintech expertise
  • INFRASTRUCTURE: Modern cloud infrastructure supporting scalability
  • INTEGRATION: Successful merger of tech stacks after acquisitions
  • SECURITY: Industry-leading cybersecurity protocols and standards

Weaknesses

  • LEGACY: Technical debt from older systems hindering innovation
  • SILOS: Engineering teams operate in isolation reducing efficiency
  • SPEED: Slower release cycles compared to fintech competitors
  • TALENT: Challenges attracting top engineering talent vs tech firms
  • DATA: Fragmented data architecture limiting analytics capabilities

Opportunities

  • APIS: Open banking standards enabling new partnership possibilities
  • AUTOMATION: AI-driven process automation for cost reduction
  • ANALYTICS: Advanced data analytics to improve customer insights
  • CLOUD: Further cloud migration to enhance agility and scalability
  • MOBILE: Expanding mobile-first capabilities for younger demographics

Threats

  • COMPETITION: Neobanks offering superior digital user experiences
  • TALENT: Tech giants attracting top engineering talent with benefits
  • SECURITY: Increasing sophistication of cyber threats and attacks
  • REGULATION: Evolving compliance requirements increasing costs
  • INNOVATION: Rapid technological change outpacing adaptation

Key Priorities

  • MODERNIZE: Accelerate legacy system replacement and tech debt reduction
  • TALENT: Implement aggressive hiring and retention for engineers
  • DATA: Unify data architecture to enable next-gen analytics
  • AGILITY: Adopt DevOps practices to increase deployment frequency
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To provide financial services that help people achieve financial well-being by leveraging technology to create the leading bank of the future

MODERNIZE TECH

Transform our core technology for the digital future

  • LEGACY: Retire 30% of legacy systems and migrate to cloud-native solutions with zero downtime
  • MICROSERVICES: Refactor 4 core banking functions into microservices with 99.99% SLA by Q4
  • DEVOPS: Implement CI/CD pipelines across 85% of development teams reducing deploy time by 60%
  • ARCHITECTURE: Establish enterprise-wide tech architecture governance board with quarterly reviews
WIN TOP TALENT

Build the best engineering team in financial services

  • HIRING: Increase engineering headcount by 15% focusing on cloud, AI, and security specialists
  • RETENTION: Reduce voluntary turnover to below 10% through competitive comp and growth paths
  • SKILLS: Ensure 90% of engineers complete at least one certification in cloud or AI technologies
  • CULTURE: Achieve 85%+ employee satisfaction score in tech organization satisfaction survey
UNLOCK DATA

Create a unified data ecosystem for insights and AI

  • PLATFORM: Launch centralized data lake with 100% of customer data sources integrated by Q4
  • QUALITY: Implement automated data quality monitoring achieving 95% quality score across systems
  • GOVERNANCE: Deploy comprehensive data governance framework with 100% regulatory compliance
  • ANALYTICS: Enable self-service analytics for 200+ business users with training and documentation
SHIP FASTER

Accelerate delivery with agile engineering excellence

  • FREQUENCY: Increase production deployment frequency from monthly to weekly for core services
  • AUTOMATION: Achieve 85% automated test coverage across all critical applications and services
  • EFFICIENCY: Reduce mean time to resolution for P1 incidents from 4 hours to under 30 minutes
  • COLLABORATION: Implement cross-functional product teams for all major digital initiatives by Q3
METRICS
  • DIGITAL ACTIVE USERS: 15% growth by end of 2024, 22% by end of 2025
  • DEPLOYMENT FREQUENCY: From monthly to weekly for all core services
  • SYSTEM RELIABILITY: 99.99% uptime for all customer-facing applications
VALUES
  • Customer Focus: Delivering exceptional experiences through intuitive technology
  • Innovation: Embracing change and pioneering new solutions
  • Collaboration: Working across teams to deliver integrated solutions
  • Excellence: Setting high standards in engineering and service delivery
  • Security: Protecting customer data and maintaining trust
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Align the learnings

Pnc Financial Services Group Engineering Retrospective

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To provide financial services that help people achieve financial well-being by leveraging technology to create the leading bank of the future

What Went Well

  • DIGITAL: Mobile banking engagement increased 18% YoY exceeding targets
  • INFRASTRUCTURE: Cloud migration project completed on time, under budget
  • AUTOMATION: Implemented RPA saving 22,000 manual processing hours YTD
  • SECURITY: Zero major security incidents with 99.99% system uptime met
  • INNOVATION: Virtual Assistant adoption reached 32% of digital customers

Not So Well

  • LEGACY: Core banking system modernization project behind schedule by 2Q
  • TALENT: Engineering turnover rate increased to 18%, above target of 12%
  • INTEGRATION: API development timeline extended due to technical barriers
  • PERFORMANCE: Multiple service degradations affecting digital experience
  • DATA: Customer data platform implementation delayed by compliance issues

Learnings

  • METHODOLOGY: Agile adoption works better with focused product teams
  • ARCHITECTURE: Microservices transition requires stronger governance
  • PLANNING: Technology roadmap should align closer with business strategy
  • CULTURE: DevOps practices need executive sponsorship to take hold
  • TALENT: Remote/hybrid work model improves engineering hiring success

Action Items

  • ACCELERATE: Prioritize core banking modernization with dedicated team
  • RETENTION: Implement competitive compensation review for tech talent
  • DEVOPS: Launch automated CI/CD pipeline for all application teams by Q3
  • DATA: Establish unified data lake architecture with governance framework
  • CLOUD: Complete migration of remaining 35% of applications to cloud
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To provide financial services that help people achieve financial well-being by leveraging technology to create the leading bank of the future

Strengths

  • FOUNDATION: Strong data infrastructure supporting AI initiatives
  • INVESTMENT: Significant funding allocated to AI development
  • TALENT: Growing team of AI/ML specialists and data scientists
  • ADOPTION: Successful pilot programs demonstrating ROI
  • GOVERNANCE: Established ethical AI framework and policies

Weaknesses

  • INTEGRATION: Challenges implementing AI into legacy systems
  • SCALE: Limited deployment of AI solutions across organization
  • SKILLS: Engineering talent gap in specialized AI capabilities
  • DATA: Data quality issues hampering model training effectiveness
  • SILOS: Fragmented AI initiatives across business units

Opportunities

  • PERSONALIZATION: AI-driven customer experiences and recommendations
  • AUTOMATION: Process optimization through intelligent automation
  • RISK: Enhanced fraud detection and risk management capabilities
  • INSIGHTS: Advanced predictive analytics for financial forecasting
  • EFFICIENCY: Operational cost reduction through AI-powered systems

Threats

  • COMPETITION: Fintech competitors with advanced AI capabilities
  • REGULATION: Emerging AI governance and compliance requirements
  • BIAS: Risk of algorithmic bias affecting customer outcomes
  • ADOPTION: Customer resistance to AI-powered financial services
  • TALENT: Intense market competition for AI engineering talent

Key Priorities

  • UNIFY: Create centralized AI strategy and governance structure
  • UPSKILL: Launch comprehensive AI training for engineering teams
  • MODERNIZE: Build AI-ready data platform for model development
  • SCALE: Move successful AI pilots to production environment