Associate Director, Data Partnerships – Oncology

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $145.6k - $270.4k / year

⏰ Full Time

🟠 Senior

💰 Account Manager

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Novartis

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Novartis is an innovative medicines company dedicated to reimagining medicine to improve and extend people’s lives. With a presence in over 250 million patients worldwide, Novartis focuses on harnessing scientific breakthroughs to develop transformative, high-value treatments in areas such as cardiovascular, renal and metabolic diseases, immunology, neuroscience, and oncology. The company is committed to diversity, equity, and inclusion, and aims to create a positive impact through societal contributions and environmental sustainability efforts. Furthermore, Novartis engages in research collaborations and embraces modern technology platforms to advance their research and development capabilities, making them a leader in the global healthcare industry.

📋 Description

• Implement the organization’s oncology data partnership strategy • Identify critical data needs across US Commercial oncology brands, functions, and priority use cases • Establish, manage, and strengthen strategic partnerships with external oncology data providers, platforms, and vendors • Guide partnership decisions and business recommendations using knowledge of oncology data sources, vendor capabilities, limitations, and use cases • Monitor data quality, security, privacy, and compliance standards for external oncology data sources, platforms, and vendors • Collaborate with data vendors, business stakeholders, analytics teams, field enablement, access, and cross-functional oncology teams to address data quality issues and communicate changes • Oversee external oncology data partnerships, including data standards, data-sharing agreements, governance expectations, and internal policies • Implement data stewardship practices across platforms, vendors, and technology solutions • Track oncology data partnerships and spend • Provide performance metrics and governance reporting to senior leadership • Identify opportunities for operational efficiencies, improved governance, and enhanced collaboration • Understand oncology business needs, recommend relevant data sets, and guide teams in extracting actionable insights • Provide ongoing data advisory support on recurring deliverables, data interpretation, availability, limitations, and appropriate use of rare disease data

🎯 Requirements

• Bachelor’s or Master’s degree in Information Management, Computer Science, Business Administration, or related field • Minimum 6+ years of experience establishing and managing data partnerships, with a strong focus on oncology, healthcare data, data governance, data management, or related roles • Prior experience working with or for a data vendor, data provider, healthcare data platform, or analytics organization is strongly preferred • Deep understanding of oncology data assets, including data sourcing, data coverage, refresh cadence, linkage, quality considerations, and fit-for-purpose business use cases • Expert understanding of data partnership principles, frameworks, and best practices • Familiarity with regulatory requirements and industry standards related to healthcare data privacy, security, quality, compliance, and appropriate use of oncology data • Excellent leadership, communication, stakeholder management, influencing, and change management skills in a complex organizational environment • Strong analytical and problem-solving skills • Ability to assess vendor data quality, identify data gaps, manage risks associated with external data partnerships, and ensure shared-data integrity, security, and quality • Experience working with IQVIA, Komodo, MMIT, Symphony, Definitive Healthcare, Veeva, Flatiron, or similar healthcare and oncology data sources is highly desirable • Ability to translate oncology business needs into data solutions and guide teams in selecting and leveraging appropriate data sets

🏖️ Benefits

• Performance-based cash incentive • Eligibility to be considered for annual equity awards, depending on role level • Health benefits • Life benefits • Disability benefits • 401(k) with company contribution and match • Vacation • Personal days • Holidays • Other leaves • Reasonable accommodation for individuals with disabilities