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Enterprise Data Architect (Operations and Finance)

AbbVie
10 days ago
Remote friendly (Florham Park, NJ)
United States
$160,500 - $305,000 USD yearly
IT
The Data Domain Architect, Operations and Finance defines and drives the data and AI architecture strategy that enables business outcomes across AbbVie Operations and Finance. Acts as a trusted advisor, translating business strategy into architecture roadmaps, reusable data product patterns, and AI-ready capabilities.

Key Responsibilities
- Define and communicate architecture vision/strategy for the Operations and Finance data domain.
- Develop and maintain multi-year roadmaps aligned to business strategy and transformation priorities.
- Establish target-state architecture, architecture principles, and reusable patterns for data, analytics, and AI.
- Lead evaluation and selection of technologies/platforms (AWS, SAP BDC, Dataiku, SageMaker Studio, Agentic AI).
- Partner with senior business/technology leaders to shape scalable solutions.
- Advise senior leadership on data, AI, and technology investments.
- Incorporate external innovation/emerging technologies where relevant.
- Ensure alignment to security, governance, compliance, and architectural guardrails.
- Direct and guide data and AI engineers on vision, roadmap, standards, and principles.
- Own the reusable Data Product and AI Product Factory to scale AI-ready data products enterprise-wide.

Qualifications
Required:
- Bachelorโ€™s (10 yrs) / Masterโ€™s (9 yrs) / PhD (5 yrs).
- Enterprise architecture and cloud data platform experience.
- AWS-based data architectures; modern cloud data platform patterns.
- SAP BDC (or related SAP data/integration technologies).
- AI/ML platforms (SageMaker Studio, Dataiku, Agentic AI).
- Proven roadmap/strategy influence and architecture governance leadership.
- Business acumen in operational and financial processes.
- Clear communication with senior/executive leadership; cross-partner collaboration.

Preferred:
- 10+ yrs in data/enterprise architecture, analytics, or tech leadership.
- Large-scale Operations/Finance transformation experience.
- Reusable data/AI product building and product factory operating models.
- Regulated-industry experience; strong security/compliance/quality awareness.
- Ability to influence in matrix organizations.