Data Science Lead, Data Architect

📋 Description

• Construct the Enterprise Pricing Data Architecture.

• Create and uphold the governed data infrastructure that supports BD’s pricing analytics ecosystem.

• Establish a canonical data model for pricing (SKU/Customer/Region granularity) and harmonize ERP, CRM, contract, and external market data.

• Develop the analytics framework that converts data into actionable commercial intelligence.

• Create scalable Power BI models to facilitate core pricing metrics, including price waterfall, Price Power Index, performance benchmarks, elasticity, and willingness-to-pay modeling.

• Enable capabilities for competitive intelligence and market price monitoring.

• Deliver analytical insights regarding contract and rebate structures, as well as leakage.

• Design a pricing intelligence architecture that supports next-generation AI-driven pricing insights and decision support, including price recommendations and forecasting tools.

• Develop architecture that accommodates Agentic AI workflows to produce contextual insights.

• Support the integration of ML/LLM-based reasoning for generating pricing projections, anomaly detection, and scenario simulations.

• Ensure that the pricing intelligence platform evolves into a core competency across the commercial organization.

• Assist in the implementation and refinement of pricing governance frameworks.

• Empower regional and business unit pricing teams to effectively utilize the analytics platform.

• Collaborate with Finance to strengthen pricing KPI and measurement standards.

⛳️ Requirements

• Bachelor’s Degree.

• Minimum of 8 years of experience in data engineering and data science within commercial/price analytics; expertise in Databricks is essential.

• Experience in developing AI-enabled analytics platforms, including familiarity with LLM orchestration frameworks and the application of Agentic AI workflows in an enterprise data environment.

• Advanced SQL skills with experience modeling billing/AR tables, FX normalization, and price waterfalls; knowledge of GPO/admin fees and chargebacks is necessary.

• Proven experience in developing pricing analytics models such as willingness to pay (WTP), Price Power Index (PPI), and price elasticity models governance.

• Strong background in building Power BI semantic models and performance-optimized dashboards.

• Capability to convey complex analytical insights in a clear and effective manner to influence cross-functional stakeholders.

• Excellent project and time management abilities, with a capacity to multitask among competing priorities.

• An action-oriented individual who is highly proactive in addressing problems and achieving results.

🏝️ Benefits

• Annual Bonus Potential.

• Discretionary LTI Bonus.

• Potential reimbursement for vehicle use/mileage.

• Potential reimbursement for phone usage.

• Comprehensive Health and Well-being Benefits.

• Medical coverage.

• Health Savings Accounts.

• Flexible Spending Accounts.

• Dental coverage.

• Vision coverage.

• Hospital Care Insurance.

• Critical Illness Insurance.

• Accidental Injury Insurance.

• Life and AD&D insurance.

• Short-term disability coverage.

• Long-term disability insurance.

• Long-term care with life insurance.

• Other Well-being Resources.

• Anxiety management program.

• Wellness incentives.

• Sleep improvement program.

• Diabetes management program.

• Virtual physical therapy.

• Emotional/mental health support programs.

• Weight management programs.

• Gastrointestinal health program.

• Substance use management program.

• Benefits for musculoskeletal surgery, cancer treatment, and bariatric surgery.

• Retirement and Financial Well-being benefits.

• BD 401(k) Plan.

• BD Deferred Compensation and Restoration Plan.

• 529 College Savings Plan.

• Financial counseling.

• Baxter Credit Union (BCU).

• Daily Pay.

• Guidance for college financial aid and applications.

• Life Balance Programs.

• Paid time off (PTO), including all mandated State leaves.

• Educational assistance and tuition reimbursement.

• MetLife Legal Plan.

• Group auto and home insurance.

• Pet insurance.

• Commuter benefits.

• Discounts on products and services.

• Academic Achievement Scholarship.

• Service Recognition Awards.

• Employer matching donations.

• Workplace accommodations.

• Additional Life Balance Programs.

• Adoption assistance.

• Backup daycare and eldercare.

• Support for neurodivergent adults, children, and caregivers.

• Assistance for caregiving of elderly and special needs individuals.

• Employee Assistance Program (EAP).

• Paid Parental Leave.

• Support for fertility, birthing, postpartum, and age-related hormonal changes.

• Leave Programs.

• Bereavement leaves.

• Military leave.

• Personal leave.

• Family and Medical Leave (FML).

• Jury and Witness Duty Leave.