Vice President, Data and Analytics Products

🕒 July 27

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OptimizeRx

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 $9M Post-IPO Equity - OPTIMIZERx on 2018-05

Healthcare • SaaS • B2B

OptimizeRx is a healthcare-focused technology company that operates a cloud-based communications platform connecting life sciences manufacturers, payers, providers and pharmacies. It delivers targeted clinical, patient-support and affordability messages into point-of-care channels (including electronic health records, e-prescribing and pharmacy systems) to help drive adherence, streamline patient access and support care decisions. The company primarily sells to other organizations and offers its solution as a SaaS platform.

📋 Description

• Define the short- and long-term vision, strategy, and roadmap for the product portfolio, ensuring alignment with corporate objectives, customer needs, and market opportunities. • Identify emerging opportunities by evaluating healthcare data, artificial intelligence, analytics, advertising technology, customer insights, and competitive trends to create differentiated products and sustainable competitive advantage. • Prioritize product investments by balancing customer value, commercial opportunity, technical feasibility, strategic importance, and organizational capacity. • Lead cross-functional product teams through the entire product lifecycle—from discovery through commercialization—by defining product requirements, prioritizing features, developing release plans, and delivering scalable, high-quality solutions. • Establish product management best practices, including roadmap governance, product discovery, prioritization frameworks, lifecycle management, and portfolio reviews that improve execution, transparency, and decision-making. • Partner with Engineering, Data Science, and AI teams to transform advanced analytics, predictive models, and machine learning capabilities into intuitive commercial products that deliver measurable customer value. • Ensure products are designed in partnership with Legal, Compliance, Privacy, and Security teams to meet HIPAA, regulatory, contractual, and responsible AI requirements. • Lead, mentor, and develop a Technical Product Manager direct report by establishing clear priorities, aligning day-to-day execution with product strategy, and fostering a collaborative, accountable, and customer-focused product organization. • Develop commercialization strategies that maximize customer adoption, business value, and market impact by partnering with Sales, Marketing, Finance, and Customer Success on pricing, packaging, positioning, launch planning, and customer enablement. • Partner directly with pharmaceutical manufacturers, agencies, and customer-facing teams to identify market needs, validate product opportunities, and translate customer insights into scalable product capabilities. • Collaborate with Product Marketing to evaluate market trends, competitive positioning, and industry dynamics that inform product strategy and portfolio growth. • Partner with Finance and Executive Leadership to develop business cases, evaluate investments, allocate resources, and continuously assess portfolio performance against strategic and financial objectives. • Define and monitor key performance indicators that measure customer adoption, engagement, operational efficiency, revenue growth, and overall business impact, using portfolio reviews to drive continuous improvement. • Represent OptimizeRx with customers, strategic partners, and industry organizations by communicating the company's vision for healthcare data, analytics, artificial intelligence, and media innovation while serving as a trusted advisor to internal and external stakeholders.

🎯 Requirements

• 12+ years of Product Management experience • 7+ years leading product organizations • Experience building commercial data products • Experience with cloud-scale data platforms • Experience commercializing analytics products • Strong understanding of claims, EHR, and other healthcare or life sciences data • Experience working with engineering and data science organizations • Minimum 5 years of experience building AI models, including deployment in production environments • Experience with fundamentals of advanced analytics and Machine Learning (ML) workflows • Demonstrated experience and knowledge of marketing analytics, market research, or data-driven insights in life science industry • Experience in healthcare, pharmaceutical or life science industry, required • Strong interpersonal and communication skills to develop relationships with stakeholders across the organization • Strong analytical skills with the ability to interpret complex data sets and generate actionable insights

🏖️ Benefits

• Group Medical, Dental & Vision • Retirement savings plan with match • Basic Life and AD&D • Short & Long-term Disability • Telehealth Services • Paid Parental Leave • Voluntary Life and AD&D • Flexible Paid Time Off • Company provided Holidays • Monthly Technology Reimbursement • Equity in the Company (eligibility restrictions may apply) • Remote First Environment • Affinity Groups • Employee Recognition Program