VP, AI-Driven Data & Analytics Platforms

United States Digital Space LLC

United States

Remote

USD 250,000 - 350,000

Full time

14 days+

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Benefits offered by this job

Group Medical, Dental & Vision

Retirement savings plan with match

Long-term disability

Telehealth Services

Paid Parental Leave

Equity in the Company (eligibility)

Remote First Environment

Monthly Technology Reimbursement

Employee Recognition Program

Premium paid by Company

Flexible Paid Time Off

Company Holidays

Job summary

United States Digital Space LLC is seeking a visionary Vice President of Data & Analytics Products to define and drive the portfolio strategy and commercialization of data, analytics and AI-powered solutions for healthcare brands. You will lead cross-functional teams across product, engineering, data science and commercial functions to deliver scalable products and measurable customer value.

The ideal candidate blends strategic product leadership with hands-on experience commercializing data

Qualifications

12+ years of Product Management experience.
7+ years leading product organisations.
Experience building commercial data products.
Experience with cloud-scale data platforms.
Experience commercialising analytics products.
Strong understanding of claims, EHR and other healthcare data.
Experience working with engineering and data science organisations.
Minimum 5 years of experience building AI models, including deployment in production environments.
Experience with fundamentals of advanced analytics and ML workflows.
Demonstrated experience and knowledge of marketing analytics or data-driven insights in the life science industry.
Experience in healthcare, pharmaceutical or life science industry, required.

Responsibilities

Define the short- and long-term vision, strategy and roadmap for the product portfolio.
Identify opportunities by evaluating healthcare data, AI, analytics, advertising technology and competitive trends.
Prioritize product investments balancing customer value, commercial opportunity, feasibility and capacity.
Lead cross-functional teams through the full lifecycle—from discovery to commercialization.
Establish product management best practices, including roadmap governance and lifecycle management.
Partner with Engineering, Data Science and AI to transform analytics into commercial products.
Ensure products meet HIPAA, regulatory, contractual and responsible AI requirements.
Lead, mentor and develop a Technical Product Manager.