Product Owner II - Analytics Engineer

PNC Bank-posted 2 days ago

$55,000 - $134,550/Yr

Full-time • Mid Level

Pittsburgh, PA

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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 Product Owner II - Analytics Engineer within PNC's Asset Liability Management Chief Investment Office organization, you will be based in Pittsburgh, PA; Cleveland, OH or New York, NY. About the Role Join a high-performing team thriving on solving complex problems. You’ll enable advanced analytics and data management for a strong, hands-on quant team. We value quality over quantity—seeking adaptable analytics engineers who learn quickly, proactively solve problems, and collaborate cross-functionally.

Develop and support analytics engineering platform using enterprise cloud-native technologies and toolsets (e.g., OpenShift, Kubernetes).
Enable rapid development and deployment of data apps and analytics tools (such as JupyterHub, Airflow, MLflow, Plotly Dash, Streamlit, Flask, FastAPI).
Build and support modern data management solutions, including data lakehouse architectures (e.g., Apache Iceberg), data virtualization, and robust data pipelines for streaming and batch workloads.
Collaborate directly with traders and portfolio managers to understand business problems, deliver proof-of-concepts, and transform current practices (e.g., migrating Excel/VBA/C++ workflows to Python and API-based solutions).
Set and enforce analytics best practices: code quality, CI/CD (Jenkins), testing, documentation, and security (Python 3.9+, SonarQube, IAST/SAST).
Drive AI/ML-driven analytics experience, including model lifecycle management, explainability, and compliance with evolving regulatory standards.
Involved in designing and operating multi-tenant environments, Helm-based deployments, and analytics app lifecycle management.
Prioritize reliability and redundancy for daily business operations; support RBAC and data governance for risk and market data domains.
Proactively identify challenges, troubleshoot issues, and continuously learn new knowledge and business concepts to deliver effective solutions.
Owns the vision and the definition of the product.
Serves as the voice of the customer.
Provides guidance to concentrate the Scrum Team(s) effort on correct priorities based on business value.
Defines and conveys the vision to the team(s) in order to address client requirements to meet business objectives.
Accountable for the creation of and the integrity of the product backlog.
Prioritizes and leads grooming of the product backlog.
Works in partnership with the Scrum Master(s) to ensure items are worked on in accordance with the product backlog.
Serves as the primary point of contact for questions from the team(s).
Accepts delivery of working product from the Scrum Teams(s).
Reviews and validates Scrum Team(s) working product.
Socializes the delivery of business value and outcomes of the iteration to various stakeholders.

2–3 years’ experience building and operating cloud-native platforms (OpenShift/Kubernetes or similar).
Strong Python and SQL skills; familiarity with modern data and ML toolsets (open source preferred).
Experience with CI/CD (Jenkins), containerization, and app hosting for data-driven applications.
Understanding of data lakehouse concepts, data pipelines, and data governance.
Ability to work closely with business users, quickly learn financial domain concepts, and translate needs into technical solutions.
Demonstrated proactive problem solving and commitment to active learning.
Bachelor’s degree required; Master’s a plus.
Knowledge and practice of web development.
Knowledge and practice of API.
Excellent communication and documentation skills.
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.

AWS data engineering or machine learning training/experience.
Experience in financial services, especially trading, risk, or asset/liability management.
Familiarity with quantitative analytics, machine learning, and modernizing legacy workflows.
Knowledge of database technologies (MySQL,Postgres, Oracle, MS SQL) and NoSQL such as redis, mongodb and performance optimization.
Experience with AI/ML model development, deployment, and monitoring (including generative AI, explainable AI, and compliance frameworks).
Understanding of regulatory requirements for AI in finance (model risk management, bias testing, explainability, and data privacy).
Familiarity with C/ C++ libraries and scheduling tools.

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; 8 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 Your PNC Total Rewards .

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