Enterprise Data Architect (Operations and Finance)
AbbVie
10 days ago
Remote friendly (North Chicago, IL)
United States
$160,500 - $305,000 USD yearly
IT
The Data Domain Architect, Operations and Finance is responsible for defining and driving the data and AI architecture strategy that enables business outcomes across AbbVie Operations and Finance.
Key Responsibilities:
- Define and communicate the architecture vision and 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 solutions.
- Lead evaluation and selection of technologies/platforms including AWS, SAP BDC, Dataiku, SageMaker Studio, and Agentic AI.
- Partner with senior business and technology leaders to identify opportunities and shape scalable solutions.
- Serve as an advisor to senior leadership on data/AI/technology investments that drive business value.
- Ensure alignment with enterprise standards, security, governance, compliance, and architectural guardrails.
- Direct and guide data and AI engineers on vision, roadmap, standards, and architectural principles.
- Own reusable Data Product and AI Product Factory to enable scaled, AI-ready data products.
Qualifications
Required:
- Bachelor’s (10 years), Master’s (9 years), or PhD (5 years).
- Enterprise architecture and cloud data platforms; strong analytics and AI/ML enablement.
- Proven AWS-based data architecture and modern cloud data platform patterns.
- Experience with SAP BDC (or related SAP data/integration technologies).
- Experience with AI/ML platforms such as Amazon SageMaker Studio, Dataiku, and Agentic AI.
- Ability to define roadmaps, influence strategy, and lead architecture governance.
- Business acumen for operational and financial processes; strong executive communication.
Preferred:
- 10+ years in data/enterprise architecture, analytics, or related leadership.
- Experience leading large-scale Operations/Finance transformations.
- Experience building reusable data/AI products and product factory operating models.
- Regulated-industry experience with security/compliance/quality awareness.
- Ability to influence in matrixed organizations.
Key Responsibilities:
- Define and communicate the architecture vision and 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 solutions.
- Lead evaluation and selection of technologies/platforms including AWS, SAP BDC, Dataiku, SageMaker Studio, and Agentic AI.
- Partner with senior business and technology leaders to identify opportunities and shape scalable solutions.
- Serve as an advisor to senior leadership on data/AI/technology investments that drive business value.
- Ensure alignment with enterprise standards, security, governance, compliance, and architectural guardrails.
- Direct and guide data and AI engineers on vision, roadmap, standards, and architectural principles.
- Own reusable Data Product and AI Product Factory to enable scaled, AI-ready data products.
Qualifications
Required:
- Bachelor’s (10 years), Master’s (9 years), or PhD (5 years).
- Enterprise architecture and cloud data platforms; strong analytics and AI/ML enablement.
- Proven AWS-based data architecture and modern cloud data platform patterns.
- Experience with SAP BDC (or related SAP data/integration technologies).
- Experience with AI/ML platforms such as Amazon SageMaker Studio, Dataiku, and Agentic AI.
- Ability to define roadmaps, influence strategy, and lead architecture governance.
- Business acumen for operational and financial processes; strong executive communication.
Preferred:
- 10+ years in data/enterprise architecture, analytics, or related leadership.
- Experience leading large-scale Operations/Finance transformations.
- Experience building reusable data/AI products and product factory operating models.
- Regulated-industry experience with security/compliance/quality awareness.
- Ability to influence in matrixed organizations.