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Job Description & How to Apply Below
In this high-visibility, dual-capacity role, you will combine deep technical data analytics expertise with Product Owner leadership to drive the end-to-end delivery of data products, reporting solutions, and automated analytics. Acting as the primary liaison between Risk Management, Lines of Business, and Data Engineering teams, you will define product roadmaps, build prioritized backlogs in an Agile environment, and develop interactive Power BI dashboards, advanced SQL transformations, and Python automation scripts.
Operating initially in a remote capacity with a planned transition to a hybrid in-office model, you will leverage cloud platforms like Azure and Databricks to modernize risk reporting, optimize data accessibility, and enable data-driven decision-making across the enterprise.
Duration:
Full-Time Contract Engagement (High potential for conversion to permanent FTE)
Work Arrangement:
Hybrid (Currently remote; transitioning to a mandatory hybrid in-office expectation down the road. Must be within commuting distance of corporate office)
Schedule:
Monday to Friday, core business hours (Overtime as needed)
Advantages
FTE Conversion Pathway:
Strong opportunity to convert to a permanent full-time (FTE) role with a leading financial enterprise.
Dual-Capacity Career Growth:
Uniquely blend hands-on technical data engineering/BI development with strategic Agile product leadership and roadmap design.
Modern Cloud Data Ecosystem:
Gain deep exposure to cloud-native data architectures, including Azure Data Factory, Synapse Analytics, Databricks, and Unity Catalog.
Enterprise Risk Leadership:
Shape core data strategy, executive dashboards, and automated reporting frameworks for senior Risk Management executives.
Responsibilities
Product Ownership & Backlog Management:
Serve as Product Owner for risk analytics products, defining product visions, building roadmaps, and translating business needs into epics, user stories, and acceptance criteria.
Agile Facilitation & Governance:
Lead Agile ceremonies (sprint planning, backlog refinement, stand-ups, retrospectives) while prioritizing deliverable backlogs against technical dependencies and business strategy.
BI Dashboard & Analytics Development:
Design, build, optimize, and maintain high-performing interactive Power BI dashboards, data models, DAX measures, and Power Query transformations.
Data Engineering & Automation:
Write complex SQL queries, views, and stored procedures to profile and model datasets; utilize Python scripts to automate data validation, processing, and reporting workflows.
Cloud Platform Support:
Collaborate with data engineers to support the Risk Data Factory and cloud modernization initiatives using Azure Data Factory, Synapse, and Databricks.
Stakeholder Management & Communications:
Lead business discovery sessions, provide executive status updates, create data dictionaries/mapping specs, and support change management for analytics adoption.
Qualifications
Data Analytics & Product Ownership Depth: 8+ years of combined hands-on experience in data analytics, business intelligence, business analysis, and Agile product ownership.
Large Enterprise Track Record:
Proven experience delivering data products and business analysis within a large-scale corporate enterprise.
Advanced Power BI Mastery:
Demonstrated expertise in Power BI development, including data modeling, complex DAX measures, Power Query, and performance tuning.
Advanced SQL & Database Querying:
Strong proficiency writing advanced SQL queries to analyze, profile, and transform complex relational datasets.
Python for Automation:
Hands-on experience using Python for data analysis, pipeline automation, reconciliation, and data manipulation.
Agile Framework Proficiency:
Solid understanding of Agile delivery methodologies, backlog refinement, user story writing, and product lifecycle management.
Education:
Undergraduate degree in Computer Science, Data Analytics, Mathematics, Statistics, Engineering, Economics, Business Analytics, Finance, or a related discipline.
Preferred Assets & Nice-to-Haves
Industry domain experience in Financial Services, Banking, Enterprise Risk, Credit Risk, Market Risk, or Regulatory Reporting.
Hands-on exposure to cloud data tools including Azure Data Factory, Synapse Analytics, Databricks, or Unity Catalog.
Formal…
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