Product Manager [Multiple Positions Available]

DESCRIPTION:

Duties: Responsible for end-to-end analysis, design, and execution of project deliverables including new initiatives, enhancements to existing logic data products, visualizations, and tool support for financial data workflows.

Define technology strategy and vision for products and platform.

Collaborate cross-functionally and with stakeholders to align technology strategy.

Lead functional review sessions with cross-team engineering, business, and operations partners to ensure requirements are clear and product aligns to expected results.

Drive introduction of innovative solutions, including development of new or enhanced components and the overall platform performance.

Provide technical platform support and business and user support.

Identify opportunities to automate manual tasks and eliminate or remediate recurring issues to improve overall operational stability.

Simplify complex logic to streamline analytics, data workflows and technical implementation of financial and profitability metrics across revenue, expenses, and capital.

Develop and enhance financial data models to analyze downstream cross impact and improve business decision making.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Mechanical Engineering, Computer Engineering, Computer Information Systems, Financial Engineering, or related field of study plus five (5) years of experience in the job offered or as Product Manager, Product Owner, Project Manager, Software Engineer, Business Analyst, or related occupation.

Skills Required: This position requires five (5) years of experience with the following: Acquiring and managing financial, operational, and reference data from upstream systems to ensure accuracy, completeness, and lineage, while enhancing data quality and consistency for downstream consumers through enrichment, validation, cleansing, and integrity rules, including schema conformance, duplicate resolution, survivorship, and anomaly detection; Designing and standardizing canonical data models and physical schemas across Oracle and AWS data platforms by enforcing enterprise standards for naming conventions, partitioning, clustering, sort keys, and metadata, while defining data classification and handling policies to ensure appropriate storage, access controls, masking, and protection for cloud-hosted information; Collaborating with Information Security and Compliance partners to enforce security and data standards for cloud-based data hosting; Supporting consistent Profit & Loss and client management reporting and analytics across multiple business domains by harmonizing dimensional models including product, segment, client, legal entity, and currency by ensuring conversion logic and restatement policies; Supporting liquidity risk management, stress testing, scenario management, assumption modeling for creating resolution liquidity analysis reports including RLEN and RLAP to quantify execution liquidity needs and assessing ...