Associate Director Data Science B4 III - USA

Location:

East Hanover, NJ Hybrid (3 days (Mon-Thurs), 2 remote)

Salary Range:

Competitive, based on experience and qualifications

Introduction

Our company is on a mission to transform medicine and improve lives worldwide. As a global leader in healthcare, we leverage advanced technology and data to deliver patient-centric solutions, enhance customer engagement, and drive innovation. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. The US CRM organization sits within Strategy, Platforms & Transformation (SPT) – AI & Platform Products and plays a crucial role in driving the transformation to a next-generation Customer360 operating model.

Required Skills & Qualifications

• Bachelor's degree in data, technology, business, engineering, computer science, or a related field required; advanced degree preferred.
• Fluent English; other languages are desirable.
• 5 years of product management, AI product, CRM platform, automation, data platform, or enterprise SaaS experience.
• Strong understanding of AI-enabled product delivery, agent workflows, grounding and context, access controls, evaluation, human oversight, and responsible AI governance.
• Hands-on knowledge of Salesforce Data Cloud and Agentforce or comparable enterprise AI and customer data platforms.
• Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications

• Experience with Salesforce CRM, Data Cloud, Agentforce, APIs, workflow automation, and enterprise integration patterns.
• Familiarity with AI governance frameworks, model or agent evaluation, prompt and grounding design, monitoring, and incident management.
• Background in pharma, life sciences, healthcare, or another regulated industry where privacy, trust, and controlled technology use are essential.

Day-to-Day Responsibilities

• Manage Agentforce intake: Receive and qualify requests for Agentforce capabilities and features that leverage Data 360, documenting the user need, intended outcome, data context, risk, and enterprise reuse potential.
• Set capability strategy and roadmap: Define the Agentforce roadmap, reusable capability model, and sequencing across initial marketing and sales use cases and future functional areas.
• Prioritize enterprise demand: Prioritize support and platform capabilities using strategic value, readiness, governance risk, shared demand, data availability, and delivery capacity.
• Own and refine the backlog: Translate prioritized use cases into epics, features, user stories, evaluation criteria, guardrails, and release plans for Agentforce capabilities.
• Coordinate PI planning: Plan Agentforce demand and dependencies with Data Cloud, architecture, engineering, security, privacy, AI governance, and DDIT delivery teams.
• Drive adoption and learning: Partner with change, training, operations, and business leads to support adoption; capture feedback and operational evidence for iterative improvement.

Company Benefits & Culture

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and development.
• Inclusive and collaborative work environment.

For immediate consideration please click APPLY to begin the screening process with Alex.