Software Engineering Group Manager - Data, Automation, & AI Architecture

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Software Engineering Group Manager within PNC's Technology organization, you will be based in Philadelphia, PA; Columbus, OH; Dallas, TX; Phoenix, AZ; Pittsburgh, PA; Cleveland, OH; or Denver, CO

As a Software Engineering Group Manager within AMG Technology, you will lead an architecture team aligned exclusively to the Asset Management Group (AMG) line of business. The team will focus primarily on data, automation, and artificial intelligence architecture, translating AMG business priorities into practical technology strategies, target-state architectures, reference patterns, and delivery roadmaps. The role will partner closely with AMG business and technology leaders, Enterprise Architecture, Risk, Cybersecurity, Data Management, and delivery teams to modernize AMG capabilities and improve client and employee outcomes.

Description
This management-level position is responsible for building, leading, and maturing an AMG Technology architecture team dedicated to data, automation, and AI. The team will connect AMG's current-state environment to its future-state objectives by defining architecture direction, guiding solution design, evaluating technology options, and establishing reusable patterns appropriate for AMG's wealth and asset management businesses.
The central mandate is to bolster the LOB-aligned architecture practice for AMG by helping evaluate, select, standardize, and responsibly scale data, automation, and AI capabilities. The team will identify opportunities to simplify the AMG technology landscape, improve data quality and accessibility, automate business processes, enable advanced analytics and AI use cases, and reduce unnecessary solution duplication within AMG.
Candidates should have a strong background in data, solution, platform, automation, or AI/ML architecture, complemented by working knowledge of business architecture. Strong candidates will also understand financial services, wealth management, asset management, fiduciary responsibilities, privacy, model risk, cybersecurity, records management, and other control considerations relevant to the responsible use of data and AI.
This position is highly visible and influential. It requires a strategic and deliberate leader who can build trusted relationships across AMG, develop architecture talent, communicate clearly with executives and practitioners, and convert emerging business needs into actionable architecture decisions and roadmaps.

Key Responsibilities

Team Leadership & Development

• Build, lead, mentor, and grow an AMG-aligned team of architects focused on data, automation, and AI domains.
• Leverage and enhance the existing operating model, engagement framework, intake process, and architecture governance mechanisms for AMG Technology.
• Align Data/Automation/AI architecture capacity and priorities to AMG strategy, annual planning, investment decisions, regulatory commitments, and delivery needs.
• Foster continuous learning, intellectual curiosity, disciplined engineering, and collaboration across AMG architecture and delivery teams.
• Manage talent acquisition, performance, career development, and succession planning for direct reports.
• Promote an inclusive, respectful, and psychologically safe team environment aligned with PNC values.

AMG Architecture, Strategy & Decision Authority

• Serve as the primary design and decision authority within AMG Technology for data, automation, and AI architecture, operating within enterprise standards and governance.
• Develop and maintain AMG technology strategies, target-state architectures, reference architectures, standards, patterns, and roadmaps for data, automation, and AI.
• Lead evaluations of products, tools, platforms, and capabilities, translating findings into clear recommendations, architecture decisions, adoption guidance, and investment options for AMG.
• Guide data, automation and AI solution teams in applying architecture principles across the lifecycle of strategy, discovery, design, planning, delivery, and modernization.
• Identify reusable components and common patterns across AMG portfolios to increase consistency, reduce duplication, and accelerate time to value.
• Ensure architecture decisions address quality attributes including security, privacy, scalability, resilience, observability, performance, interoperability, supportability, and regulatory compliance.
• Partner with Enterprise Architecture and control functions to ensure AMG solutions comply with enterprise policies while meeting AMG-specific business needs.

Data Architecture & Enablement

• Define AMG data architecture direction across operational, analytical, and AI use cases, including data integration, data products, metadata, lineage, quality, governance, semantic consistency, and consumption patterns.
• Partner with AMG data owners, stewards, engineering teams, analytics teams, and business leaders to make trusted data easier to discover, understand, access, and use responsibly.
• Guide modernization of AMG data platforms and integration patterns, balancing strategic target-state direction with pragmatic transition architectures.
• Promote governed reuse of data and analytics capabilities across AMG while protecting confidential, client, employee, and regulated information.
• Establish architecture patterns that support reporting, advanced analytics, machine learning, generative AI, and agentic solutions using fit-for-purpose, well-controlled data.

Automation Architecture

• Define the AMG automation architecture strategy across workflow, orchestration, intelligent document processing, robotic process automation, APIs, events, low-code capabilities, and AI-assisted automation.
• Partner with AMG product and operations teams to identify high-value automation opportunities and select architecture approaches based on business value, risk, complexity, maintainability, and control requirements.
• Promote reusable automation patterns, integration services, and controls that reduce manual effort and improve reliability within AMG processes.
• Guide teams away from brittle point solutions by establishing sustainable automation patterns with clear ownership, monitoring, exception handling, and lifecycle management.

AI Architecture & Responsible Adoption

• Define AMG AI architecture strategy and reference patterns for machine learning, generative AI, copilots, retrieval-augmented generation, and agentic AI use cases.
• Guide the responsible introduction and scaling of AI capabilities within AMG, including appropriate human oversight, data protection, model and solution governance, traceability, testing, monitoring, and risk management.
• Partner with AMG business, product, data science, engineering, risk, legal, compliance, cybersecurity, and enterprise AI stakeholders to evaluate use cases and architecture options.
• Lead proofs of concept and structured experimentation when needed to validate value, feasibility, integration approach, control requirements, and production readiness.
• Monitor AI and automation trends and translate them into practical implications, opportunities, guardrails, and roadmaps for AMG.

Consulting, Communication & Stakeholder Engagement

• Provide strategic consultation to AMG business and technology leaders on data, automation, and AI capabilities, architecture choices, capability gaps, and long-term roadmaps.
• Analyze AMG business capabilities, processes, information needs, and technology constraints to develop recommendations grounded in business outcomes, enterprise standards, and sound engineering principles.
• Develop and present architecture deliverables including capability models, context diagrams, information flows, current- and future-state architectures, reference architectures, architecture decisions, transition plans, and roadmaps.
• Facilitate architecture reviews and decision forums, making trade-offs, assumptions, risks, dependencies, and recommended decisions explicit.
• Communicate complex technology topics clearly to senior executives, business partners, engineers, architects, governance bodies, and control partners.

Successful Candidates Will Possess

• Proven experience leading and developing architecture or senior engineering teams, with a record of building high-performing, collaborative groups.
• Strong depth in data architecture and engineering, intelligent automation, AI/ML architecture, or solution/platform architecture, with practical breadth across the other domains.
• Experience creating data strategies, target-state architectures, integration patterns, data governance approaches, and analytics or AI enablement roadmaps.
• Experience evaluating enterprise products, tools, and platforms and translating evaluations into decisions, reference architectures, implementation guidance, and measurable outcomes.
• Ability to connect AMG business capabilities and operating processes to technology strategies and architecture decisions.
• Knowledge across architecture disciplines including Business, Application, Solution, Data, Technology, Integration, and Security Architecture.
• Working knowledge of technologies such as data integration and analytics platforms, data catalogs and governance tools, AI/ML platforms, generative AI, workflow and automation platforms, APIs, middleware, event streaming, cloud services, and modern application architectures.
• Ability to create high-quality architecture deliverables including capability models, reference architectures, context diagrams, information flows, strategy maps, current/future-state architectures, architecture decision records, and roadmaps.
• Demonstrated ability to influence without direct authority, resolve ambiguity, and drive decisions among business, technology, architecture, delivery, risk, and control stakeholders.
• Strong financial services knowledge; experience in wealth management, asset management, investments, trust, brokerage, or related AMG domains is highly valued.
• Understanding of responsible AI, data privacy, cybersecurity, records management, model risk, third-party risk, and regulatory considerations relevant to data, automation, and AI solutions.
• Professional certifications are a plus, such as TOGAF, SAFe, AWS/Azure/GCP Data or AI certifications, data management credentials, or automation platform certifications.

Key Characteristics

• People-first leader who attracts, retains, and develops strong architecture talent.
• AMG-focused partner who understands business priorities and converts them into clear architecture direction.
• Organizationally savvy facilitator who works effectively across business, technology, risk, and enterprise governance teams.
• Respected and trusted leader who is outcome-oriented, evidence-based, and vendor-neutral.
• Intellectually curious, pragmatic, and disciplined in balancing innovation, delivery speed, risk, and long-term sustainability.
• Comfortable operating in ambiguity and creating clarity in complex, highly regulated environments.
• Motivated by measurable AMG business outcomes, improved client and employee experiences, and durable technology capabilities.

PNC Values

PNC employees take pride in our reputation and are expected to be:

Customer Focused — Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in business decisions, and able to use that understanding to create customized customer solutions.

Managing Risk — Assessing and effectively managing the risks associated with business objectives and activities to ensure alignment with PNC's Enterprise Risk Management Framework

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

- Manages multiple development projects, development groups and/or application support functions for a major business segment.
- Oversees the development and implementation of multiple, complex, organization-wide systems .
- Allocates and ensures resource arrangements during the application development life cycle .
- Maintains relationships with clients to ensure the implementation quality of application systems .
- Provides solutions or recommendations on complicated technology issues for application development and implementation .

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

- Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
- Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to:

- Include Intentionally - Cultivates diverse teams and inclusive workplaces to expand thinking.
- Live the Values - Role models our values with transparency and courage.
- Enable Change - Takes action to drive change and innovation that will transform our business.
- Achieve Results - Takes personal ownership to deliver results. Empowers and trusts others in decision making.
- Develop the Best - Raises the bar with every talent decision and guides the achievement of all employees and customers.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

## Preferred Skills
Communication, Project Management, Quality Assurance (QA), Software Development, Software Development Life Cycle (SDLC), Stakeholder Management, System Designs, Team Leadership, Technical Architecture, Version Control

## Competencies
Application Delivery Process, Application Development (Client/Server), Application Development (Object-Oriented), Application Development Tools, Application Localization and Internationalization, IT Environment, Software Process Improvement (SPI)

## Work Experience
Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry-relevant experience is typically 8+ years. At least 5 years of prior management experience is typically required. Proven leadership experience with a moderate to large scope of responsibility is required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

## Education
Bachelors

## Certifications
No Required Certification(s)

## Licenses
No Required License(s)

Language Assessments

No Required or Preferred Language Assessments

Pay Transparency

Base Salary: $146,300.00 – $298,870.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 10/27/2026, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit  pncthrive.com .

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Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at [email protected] . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses.  Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace.  We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

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