This position leads the enterprise data architecture strategy and execution across CRM and customer data domains, data science (including LLM-enabled solutions), and modern data platforms. The SVP will partner with business and technology leaders to define the target-state architecture, establish governance and standards, and deliver scalable, secure, and high-quality data products. The role includes direct leadership of a team of 10–15 engineers/developers and accountability for building a culture of engineering excellence and continuous delivery.

Key Responsibilities

• Enterprise Data Architecture Leadership:

Own and evolve the enterprise data architecture vision, reference architecture, and roadmap (current-state assessment, target-state design, transition plans).

• CRM & Customer Data:

Design and govern scalable CRM data models and integration patterns; enable a unified customer view across channels and downstream consumers.

• Data Science & AI (LLM):

Partner with data science teams to operationalize ML/LLM use cases; define patterns for feature/data access, prompt/response data management, evaluation, and model risk controls.

• Data Engineering & Integration:

Guide design and implementation of robust ingestion and streaming pipelines using Python scripting and modern integration patterns (batch/near-real-time), including data loading and orchestration standards.

• Search & Event Streaming Platforms:

Provide technical direction for Elasticsearch-based search/observability use cases and Kafka-based streaming/event-driven architectures.

• Analytics & BI Enablement:

Establish trusted data layers, semantic models, and governed datasets to support analytics tools and business intelligence reporting.

• Governance, Quality & Security:

Define and enforce standards for data quality, lineage, metadata, retention, privacy, and access controls in partnership with security, risk, and compliance.

• Technology Strategy & Stakeholder Management:

Translate business strategy into technology outcomes; influence across executive stakeholders; communicate tradeoffs, investment needs, and delivery plans.

• People Leadership:

Lead, coach, and develop a team of 10–15 developers/engineers; set clear goals, foster accountability, and build a high-performing, inclusive culture.

• Delivery Excellence:

Drive agile execution, engineering best practices (CI/CD, testing, observability), and operational readiness; ensure predictable delivery with measurable outcomes.

Required Qualifications

• 15+ years of progressive experience in technology, data architecture (SQL), and data engineering, including leadership at the enterprise/platform level.
• Proven experience defining and implementing enterprise data architecture, including conceptual/logical/physical modeling and integration patterns.
• Hands-on understanding of CRM data domains and architectures (e.g., customer 360, master/reference data, identity/resolution, consent/preferences).
• Strong background in data science enablement, including productionizing ML and LLM-related solutions (data pipelines, evaluation, governance, monitoring).
• Proficiency with Python for data ingestion/loading, automation, and scripting in data engineering contexts.
• Experience with Kafka (or equivalent event streaming) and event-driven integration patterns.
• Experience with Elasticsearch (or equivalent search/analytics engine) for search, indexing, and high-volume query use cases.
• Experience enabling analytics and BI reporting ecosystems, including semantic layers, metric definitions, and governed self-service data access.
• Demonstrated people-management experience leading teams of 10+ engineers/developers, including hiring, performance management, and talent development.
• Strong executive communication skills with an ability to influence cross-functional leaders and drive alignment on architecture decisions.

Preferred Qualifications

• Experience modernizing legacy data ecosystems toward cloud-based or hybrid architectures and operating models.
• Familiarity with data governance frameworks and tooling for catalog/metadata, lineage, and data quality management.
• Experience with MLOps/LLMOps practices (model/prompt versioning, experimentation tracking, automated evaluation, observability).
• Experience in regulated environments and implementing privacy-by-design, auditability, and information security controls.
• Exposure to enterprise integration patterns (API-first, CDC, streaming, ETL/ELT) and orchestration/automation practices.

Leadership Competencies

• Strategic mindset:

Balances long-term architecture direction with pragmatic delivery.

• Operational excellence:

Establishes repeatable processes, metrics, and controls to run reliable platforms.

• Talent builder:

Recruits, mentors, and retains top engineering talent; creates growth paths and accountability.

• Influence and collaboration:

Aligns business, product, security, and engineering stakeholders around shared outcomes.

• Customer and value orientation:

Measures success through adoption, data quality, time-to-insight, and business impact.

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Jersey City New Jersey United States:

Primary Location Full Time Salary Range:

$176,720.00 - $265,080.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Apr 28, 2026

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