Enterprise Data Strategist

Job Title:  Enterprise Data Strategist

Location:  Jersey City, NJ – Hybrid

Duration: 6+ months C2H Contract

·         Interview Process: In-person / Face-to-Face Interview Required

JOB DESCRIPTION:

Seeking an Enterprise Data Strategy & Architecture specialist. This role will help shape and advance the firm’s enterprise data strategy, partnering across business and technology teams to define target-state data capabilities, governance practices, and architectural standards. The successful candidate will bring a strong foundation in data strategy and data architecture that will help drive initiatives spanning data modeling, integration, quality, governance, and modernization of enterprise data platforms.

Key Focus Areas

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·         Strategy Over Architecture: The team is seeking a candidate with a demonstrated Data Strategy background who can look horizontally across the enterprise to map out a future path forward. A pure data architect will not be successful here; however, foundational data architecture experience is highly valuable for context and alignment.

·         Core Pillars: Drive enterprise initiatives spanning data modeling, integration, quality, governance, and data platform modernization.

Main Areas of Responsibility

• Define and help execute the enterprise data strategy in alignment with business priorities, regulatory expectations, and long-term technology goals.
• Guide modernization efforts for enterprise data platforms, including cloud-aligned architectures, scalable integration approaches, and reusable data services.
• Evaluate current-state data ecosystems and recommend improvements to architecture, tooling, operating models, and governance processes.
• Support the translation of business requirements into enterprise data designs, roadmaps, and implementation guidance for delivery teams.
• Develop and maintain enterprise data architecture standards, principles, and target-state blueprints across domains, platforms, and integration patterns.
• Partner with business stakeholders, data owners, application teams, and technology leaders to identify data capabilities, gaps, and opportunities for improvement.
• Lead data architecture activities including conceptual, logical, and physical data modeling, data flow design, lineage considerations, and information lifecycle planning.
• Establish and promote best practices for data governance, metadata management, master/reference data, data quality, and data security in collaboration with control and compliance partners.

Requirements & Qualifications-

·         Education: BSc or MSc degree in Computer Science, Information Systems, Data Management, or a related discipline.

·         Data Strategy & Architecture: Strong experience in enterprise data strategy, data architecture, and information management within complex enterprise organizational environments.

·         Technical Deep Dive: Robust understanding of data architecture disciplines including enterprise data modeling, canonical models, data integration, metadata management, and data lifecycle design.

·         Governance & Platforms: Experience defining and implementing data governance frameworks, data quality controls, and stewardship models. Strong knowledge of relational/non-relational data platforms and data warehousing concepts.

·         Integration: Experience with data integration approaches, APIs, event-driven patterns, ETL/ELT processes, and distributed data architectures.

·         Soft Skills: Positive, collaborative attitude with excellent written and verbal communication skills; ability to influence stakeholders across business and technology functions.

Nice to Have Attributes

·         Experience within financial services or other highly regulated industries.

·         Familiarity with enterprise architecture frameworks and data governance tools.

·         Experience supporting cloud data modernization, data platforms, or enterprise analytics transformation initiatives.