Product Owner II - Analytics Engineer

PNC • New York, NY

6d • $55,000 - $134,550 • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees