phData
phData Benefits Overview
Compensation + Benefits
Offers 401(K)
Offers life insurance
Offers disability insurance
Offers supplemental life insurance
Offers dental insurance
Offers vision insurance
Offers health insurance
Offers Health Savings Account (HSA)
Provides family medical leave
Offers generous parental leave
Offers performance bonuses
Work-Life Balance + Wellbeing
Offers company-sponsored outings
Offers an Employee Assistance Program (EAP)
Offers generous PTO
Provides paid sick days
Provides paid holidays
Provides bereavement leave
Career Growth + Development
Provides customized development tracks
Job training & conferences
Company Culture
Offers a remote work program
Provides free snacks and drinks
Recently posted jobs
Information Technology
Lead client discovery and executive engagement to identify high-value AI and data opportunities. Translate ambiguous business problems into use cases, hypotheses, MVP scopes, business cases, and measurable KPIs. Facilitate workshops, prototype solutions using AI-assisted and low/no-code tools, and partner with technical teams to develop scalable solutions. Manage client alignment, scope, risk, adoption, and change communication while connecting technology investments to business value.
Information Technology
Lead phData’s life sciences commercial strategy and solutions business across market access, pricing, patient services, commercial operations, omnichannel, payer analytics, and gross-to-net. Develop go-to-market offerings, accelerators, proposals, strategic pursuits, thought leadership, and account expansion opportunities. Advise executive clients while partnering with data, engineering, machine learning, and platform teams to create scalable, technically feasible solutions.
Information Technology
Leads client discovery, architecture, and delivery of enterprise Data and AI solutions from initial design through production deployment. Advises executives and technical stakeholders on platforms, tooling, trade-offs, and AI adoption; guides engineering teams, manages technical risks, creates architecture documentation, and mentors engineers. Requires deep cloud, data engineering, AI, consulting, and modern software delivery expertise.
