Enterprise Data Strategist

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Sibitalent Corp, is seeking the following. Apply via Dice today!

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

• 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.