Business Data Delivery Lead – Data Architecture, Modeling & Enablement

Citizens•Johnston, RI

1d•$157,000 - $209,000•Hybrid

About The Position

The Data Lead will own the end-to-end delivery of data architecture, data modeling, and data enablement for priority business domains. This role is responsible for shaping and executing data solutions that enable analytics, AI/ML, and operational use cases while ensuring data is well-governed, scalable, and aligned to enterprise standards. This individual combines deep technical expertise in data architecture, modeling, and ETL with strong delivery leadership, acting as the primary liaison between business stakeholders, data engineering, and enterprise data teams within a regulated financial services environment.

Requirements

Strong experience in data architecture, data modeling (conceptual/logical/physical), and ETL/ELT design.
Hands-on knowledge of canonical data models, semantic modeling, and data enablement patterns.
Solid understanding of distributed data systems, real-time and batch integration concepts.
Experience delivering end-to-end data solutions in cloud-based data platforms (Snowflake, AWS, Redshift or similar).
Deep understanding of data governance, data quality, metadata, lineage, and regulatory considerations.
Strong stakeholder management and communication skills, with the ability to bridge business and technical teams.
Experience leading or owning delivery across multiple initiatives.

Nice To Haves

Experience with Kafka or event-driven architectures.
Exposure to AI/ML, advanced analytics, or real-time data use cases.
Background in financial services or other highly regulated industries.
Experience with big data technologies (e.g., Spark, Delta).
Bachelor’s degree in Computer Science, Data, Information Systems, or related field (Master’s preferred).

Responsibilities

Own and deliver conceptual, logical, and physical data models, including canonical and semantic models, aligned to business capabilities and enterprise data strategy.
Define and govern domain-driven data contracts and modeling standards to enable cross-domain interoperability and reuse.
Help design and apply data architecture patterns supporting batch and real-time data integration, including event-driven and streaming use cases (e.g., Kafka).
Ensure scalable, maintainable, and well-documented data designs across analytics and operational platforms.
Lead the design, development, and delivery of data enablement solutions, including ETL/ELT pipelines from source ingestion through modeled, consumption-ready datasets.
Oversee pipeline design, estimates, dependencies, and delivery execution across cloud platforms such as AWS (S3, Glue, EMR, Lambda, Redshift) and Snowflake.
Enable high-quality data products that support reporting, analytics, AI/ML, and regulatory use cases.
Define and own the data enablement roadmap for assigned business domains, aligned with enterprise data strategy and business priorities.
Act as a data thought leader, partnering with senior business and technology stakeholders to identify and deliver high-value use cases.
Translate business needs into actionable data architecture and modeling solutions; influence stakeholders on best practices and trade-offs.
Lead cross-functional delivery teams (architects, engineers, analysts) using agile or product-based delivery models.
Ensure data assets are well-governed, trusted, and compliant with regulatory and internal risk requirements.
Own data domain definitions, quality standards, metadata, and lineage in partnership with governance teams.
Embed data quality monitoring, issue remediation, and continuous improvement into delivery processes.