Define and communicate the strategic roadmap for Commerce & Finance data domains, ensuring alignment with business objectives and scalable value delivery.
Identify, evaluate, and prioritize capitalizable data products and solutions that drive measurable business impact and can be leveraged across the organization.
Serve as the subject matter expert for Commerce & Finance data domains, understanding data sources, structures, usage patterns, and their business impact.
Proactively manage initiatives to ensure outcomes are achievable, realistic, and aligned with organizational priorities and data principles.
Lead the definition and documentation of detailed data requirements for new and existing data products, collaborating with stakeholders to capture business needs and technical specifications.
Oversee the end-to-end lifecycle of Commerce & Finance data products, including requirements gathering, data discovery, modeling, and documentation.
Conduct hands-on technical activities such as data profiling, quality assessments, and the development of data rules (contracts, pseudo code).
Establish and maintain ongoing data quality measurement processes to proactively identify, monitor, and resolve issues.
Manage product-related issues, including root cause analysis and resolution, ensuring alignment with data governance and business priorities.
Create and maintain comprehensive product documentation, including detailed data models and product-specific guidelines.
Collaborate with business stakeholders in Commerce, Finance, and related domains to understand evolving needs and ensure data products drive measurable value.
Drive user adoption by tracking engagement metrics, gathering feedback, and iterating on solutions for enhanced satisfaction and business impact.
Foster trust and alignment with stakeholders, ensuring clear communication around expectations, timelines, and product outcomes.
Partner with engineering, architecture, and analytics teams to deliver scalable, high-quality data solutions.
Champion data governance, compliance, and scalability across all Commerce & Finance data solutions.
Leverage industry best practices and cutting-edge data technologies to ensure robust, reliable, and compliant data products.
Promote operational excellence and continuous improvement in data usability, performance, and quality.
Advocate for agile methodologies and iterative delivery practices in data product development.

Requirements

5+ years of experience managing the end-to-end lifecycle of data products, including requirements gathering, data discovery, and documentation, with a focus on Commerce & Finance domains.
Demonstrated expertise in defining data requirements and identifying capitalizable products within financial and commercial data environments.
Expertise in data management practices, medallion architecture (bronze, silver, gold layers), and dimensional modeling (e.g., Kimball).
Deep understanding of data ingestion, transformation, storage processes, and ETL pipeline design and implementation.
Proficiency in data governance standards, regulatory compliance, and industry best practices.
Experience with data tools, coding languages (e.g., SQL, Python), data warehouses, analytics platforms, and cloud-based data solutions (e.g., AWS, Snowflake, dbt).
Proven ability to collaborate with data engineers, architects, and business stakeholders to design and implement scalable data solutions.
Strong stakeholder management and communication skills, with the ability to align business and technical teams on product vision and execution.
Demonstrated ability to drive user adoption, measure engagement, and iterate for continuous improvement.
Experience in agile methodologies and iterative delivery practices.
Experience in the hospitality, travel, or entertainment industry is a plus.

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits, dependent on the level and position offered

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data managementdata requirements definitiondata discoverydimensional modelingETL pipeline designdata governancemedallion architecturedata profilingdata quality assessmentdata modeling

Soft Skills

stakeholder managementcommunicationcollaborationuser adoptioncontinuous improvementtrust buildingalignmentproactive managementproblem solvingagile methodologies