Director, Data & Advanced Analytics

Position Summary:

Sonexus™ Access and Patient Support is seeking a Director of Data & Advanced Analytics to join and support our growing organization. This critical role focuses on advancing initiatives that improve patient access to life-changing specialty medications. The role is responsible for defining, developing, and delivering comprehensive technology, data analytics, and business intelligence strategies. It demands a unique combination of technical expertise, leadership skills, and business acumen within the specialty pharma and patient access landscape.

Key responsibilities include building enterprise-wide capabilities by leveraging advanced analytics and technology, including data modeling, data lakes, data science, AI, predictive analytics, performance dashboards, and speech analytics. This leader will oversee a team of direct and indirect reports, supporting multiple access and patient support programs as well as partnerships with life sciences organizations.

Given the complexity of this role, success requires an engaging, innovative, and collaborative leadership style, with a strong focus on execution and impact.

Responsibilities:

• Strategic Analytics Leadership: Develop and execute a comprehensive analytics strategy aligned with the organization's goals. Lead the development of the Data & Advanced Analytics strategy and roadmap and ensure its integration with the overall technology and enterprise strategic plans.
• Develop a robust scalable technology data analysis and intelligence environment, and world class enterprise analytics, data warehouse, modeling and tools.
• Provide strategic direction and oversight for the design, development, operation and support of legacy data analytics and enterprise intelligence, including the full life cycle of data requirements, modeling, architecture, analytics, and tools.
• Data Visualization and Reporting: Create interactive dashboards and reports to communicate complex analytics insights to non-technical stakeholders. Ensure data-driven decision-making at all levels of the organization. Serve as a company expert in the proper utilization and analysis of hub and specialty data.
• AI Strategy and Implementation: Partner with key stakeholders to iterate and execute against a robust AI strategy, aligning advanced analytics within our larger organization. Lead the integration of LLMs and AI solutions across various business functions, including patient support, patient engagement, clinical support, operations, and pharmacy distribution.
• Vendor and Partner Management: Evaluate and select advanced analytics tools and technology partners. Negotiate contracts and agreements with vendor partners to ensure the organization benefits from the latest data solutions.
• Regulatory and Compliance: Stay updated on industry regulations related to data privacy and analytics. Ensure all analytics practices comply with legal and ethical standards. Ethical AI and Data Privacy: Ensure responsible AI practices by developing and implementing guidelines for ethical AI development and deployment. Stay updated on data privacy regulations and ensure compliance throughout AI projects.
• Demonstrates growth mindset: Willingness to embrace innovative approaches, culture change, business transformation methodologies, and respectfully challenging status quo to meet aggressive business targets and fostering rapid business transformation and growth.

Qualifications:

• Bachelor's degree preferred or equivalent experience in a related such as: statistics, actuarial science, quantitative field, economics, business mathematics or a related field highly preferred
• 8 years of experience leading enterprise insights, analytics and/or business intelligence teams, with at least 4 years in pharmaceutical and/or hub services preferred
• Exceptional people leadership, communications and cross-functional teamwork
• Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management
• Technical Skills: Proficiency in statistical modeling, machine learning, data mining, and data visualization techniques.
• Ability to achieve results without direct control over resources or priorities
• Must be self-motivated/self-starter with the ability to work independently to resolve issues/problems with limited information
• Excellent analytical, critical thinking and problem-solving skills
• Strong project management skills
• Ability to travel 30 percent or as needed

What is expected of you and others at this level:

• Provides leadership to managers and experienced professional staff; may also manage fr