Data Portfolio Lead: Build Trusted Data Products for Impact

UCB; Atlanta (GA); Hybrid; USD 110,000 - 170,000; Full time

Job summary

UCB is seeking a Data Portfolio Lead to turn strategic questions into trusted data products that empower analytics and AI across the organization. You will partner with business, data, analytics, and technology teams to translate needs into measurable outcomes and orchestrate cross-domain data initiatives.

You will champion governance, reuse, and scalability while ensuring data quality, adoption, and value realization across a hybrid work environment and multiple office locations.

Qualifications

• Strong business acumen and ability to translate strategy into data requirements.
• Experience turning data questions into measurable business outcomes.
• Cross-domain data product collaboration and governance knowledge.

Responsibilities

• Identify high-value questions and opportunities to improve processes through data.
• Translate business questions into data product requirements, success measures, and acceptance criteria.
• Combine data products across domains to create integrated solutions for specific needs.
• Define shared meanings and data models for cross-domain products.
• Align data capabilities with portfolio priorities in partnership with data leads and analysts.
• Validate data and AI capabilities for accuracy and fitness for purpose with stakeholders.
• Ensure data products are discoverable, reusable, governed, and scalable.
• Monitor adoption and business impact to drive value realization.

Skills

Data fluency

Systems thinking

Stakeholder influence

Facilitation skills

Education

Bachelor's degree

Advanced degree preferred

Job description

UCB is seeking a Data Portfolio Lead to turn strategic questions into trusted data products that empower analytics and AI across the organization. You will partner with business, data, analytics, and technology teams to translate needs into measurable outcomes and orchestrate cross-domain data initiatives.

You will champion governance, reuse, and scalability while ensuring data quality, adoption, and value realization across a hybrid work environment and multiple office locations.