Data Strategist- NJ

Job Title – Data Strategist

Job Type – Hybrid

Job Location – Jersey City, New Jersey

Duration- 12 Months

Job Description:

Seeking an Enterprise Data Strategy & Architecture. 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 & data architecture that will help drive initiatives spanning data modeling, integration, quality, governance, and modernization of enterprise data platforms.

Requirements:

Needs to have more of a demonstrated Data Strategy background.

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

Strong experience in enterprise data strategy, data architecture, and information management in complex organizational environments.

Deep understanding of data architecture disciplines including enterprise data modeling, canonical models, data integration, metadata management, and data lifecycle design.

Experience defining and implementing data governance frameworks, data quality controls, stewardship models, and related operating practices.

Strong knowledge of relational and non-relational data platforms, data warehousing concepts, and modern data ecosystem patterns.

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

Ability to translate business strategy and regulatory requirements into practical data architecture roadmaps and standards.

Knowledge of architecture methods, documentation practices, and design review processes.

Understanding of privacy, security, risk, and compliance considerations as they relate to enterprise data.

Strong analytical, problem-solving, and communication skills, including the ability to influence stakeholders across business and technology functions.

Fluency in English, including strong written and verbal communication skills.

Positive, collaborative attitude, openness to change, and ability to quickly understand enterprise priorities and the broader operating model.

Experience working in agile, hybrid, or enterprise delivery environments.

Nice to Have Attributes:

Experience in 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.

Working knowledge of business intelligence, reporting, and advanced analytics enablement.

Experience facilitating cross-functional governance forums, architecture reviews, or strategic planning sessions.