AD, Tech​/Ops Data Partnerships

• Serve as the day-to-day coordination point across business stakeholders, brands, functions, Data Partnerships, data partner/vendor technical teams, and Novartis data engineering teams, including DEO / IM DnA.
• Support smooth technical onboarding in collaboration with DEO, ensuring alignment on data formats, metadata, delivery requirements, catalog inputs, and readiness milestones.
• Provide ongoing technical operations support post-go-live, working cross-functionally in the cadence of business stakeholders, brands, and functions to monitor ingestion, confirm data is flowing correctly, track pipeline performance, and coordinate issue resolution.
• Maintain and manage a centralized data issue tracker covering both technical and business-related issues, ensuring visibility, ownership, validation, and closure.
• Coordinate timely data quality issue resolution across data partners/vendors and internal teams, using business context to prioritize risks, escalation of recurring issues, and provide actionable insights to Data Partnerships leadership.
• Support working-level data partner/vendor technical relationship management, including frequent operational touchpoints, delivery follow-up, real-time issue triage, escalation, and performance discussions.
• Track SLA adherence and delivery performance, proactively flagging risks, recurring gaps, and opportunities to improve reliability.
• Maintain data documentation, metadata, data partner/vendor documentation, data asset inventory inputs, catalog updates, onboarding progress, delivery health metrics, and back-end process tracking.

Novartis is seeking an Associate Director, Tech/Ops Data Partnerships to support smooth onboarding and ongoing management with data partners/vendors, working closely with business stakeholders, brands, functions, Data Partnerships, DEO, IM DnA, and technical stakeholders to ensure data is flowing correctly, metadata is captured on data assets, catalogs are updated, and operational issues are tracked through resolution.

• Education:
  
  Bachelor's degree in related field is required;
  Master of Science and/or MBA strongly preferred
• Minimum 7+ years of experience in pharmaceutical, healthcare, technology, data, analytics, data partner/vendor operations, data engineering coordination, or consulting.
• Experience coordinating smooth technical onboarding, ongoing data partner/vendor management, data delivery, ingestion readiness, metadata alignment, catalog inputs, file formats, delivery requirements, and operational handoffs.
• Strong understanding of data quality, data pipelines, issue tracking, SLA management, data partner/vendor documentation, metadata, and data asset inventory processes.
• Proven ability to coordinate across business stakeholders, brands, functions, data partners/vendors, Data Partnerships, data engineering, and analytics stakeholders in a fast-paced, matrixed environment requiring timely alignment, escalation, and follow-through.
• Ability to manage centralized trackers, operational dashboards, delivery health metrics, recurring issue themes, and performance insights with strong attention to detail.
• Excellent communication skills, with the ability to translate technical issues into clear operational implications, risks, decisions, and next steps for business stakeholders, brands, functions, and leadership audiences.
• Ability to thrive in a fast-paced environment, manage ambiguity, proactively elevate risks, and drive follow-through to closure.

The salary for this position is expected to range between $ and $ per year.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits.

In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

Salary Range $ - $

• Cross-Functional Collaboration
• Customer Engagement
• Customer Insights
• Data Analytics
• Digital Marketing
• Market Research
• Media Campaigns
• Product Marketing
• Stakeholder Engagement
• Stakeholder Management
• Team Leadership
• Waterfall Model

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