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Senior Manager, Patient Analytics Excellence & Governance

Novartis AG
NewPosted today

LOCATION

Hyderabad · Hybrid

EXPERIENCE

8+ Years

TYPE

FullTime

SKILLS REQUIRED

Data GovernanceStakeholder ManagementProject ManagementProcess ImprovementRegulatory Compliance

Job description

Overview

Own the business definitions, standards, governance and roadmap for patient intelligence capabilities within the enterprise analytics function, partnering with AIDE OPM pillar leads and technology teams.

What you'll do

  • Co-own the patient or customer intelligence strategy, standards, business rules, analytics intelligence frameworks, KPIs, governance processes and business requirements.
  • Help define and maintain the enterprise patient intelligence capability strategy and roadmap, aligning it with enterprise analytics, AI, data and decision intelligence strategies.
  • Identify capability gaps, modernization opportunities and future-state patient intelligence needs.
  • Help establish common patient definitions, business rules, KPIs, analytical methodologies and decision frameworks, and govern reusable patient intelligence assets that scale across brands and therapeutic areas.
  • Standardize approaches for patient opportunity assessment, unmet need identification, care pathway analysis and patient insights generation.
  • Help establish common customer, account, HCP, HCO, payer and network intelligence definitions, business rules, KPIs and decision frameworks.
  • Help define and govern customer hierarchies, account intelligence standards, affiliation methodologies, engagement intelligence principles and customer information standards.
  • Standardize customer intelligence approaches that support field orchestration, targeting, deployment, CRM and commercial decision making.
  • Define business requirements for patient-related and customer-related data assets, master data, reference data, business rules and intelligence capabilities.
  • Provide business support for data investigations, business-rule interpretation, KPI validation and remediation prioritization.
  • Serve as business steward for patient and customer intelligence definitions, standards and requirements while SPT retains technical data strategy, architecture, data engineering and MDM operations.
  • Support business validation, user acceptance testing and adoption of patient and customer data products and capabilities.
  • Partner with business stakeholders, SPT, Analytics Product, Medical, Market Access, Precision Health and analytics teams to evaluate, prioritize and sequence enhancement requests, data investments and capability improvements.
  • Establish governance processes for intake, prioritization, trade-off decisions and value realization.
  • Evaluate emerging business needs, data opportunities and technology capabilities to inform future roadmap decisions.
  • Serve as business partner of the customer intelligence capability backlog and participate in agile planning, release governance and roadmap reviews.
  • Translate priority business questions into analytics, data, AI, technology and workflow requirements, and support traceability from business objectives through adoption and value realization.
  • Translate prioritized business needs into well-defined epics, features, requirements and capability enhancements for agile delivery teams.
  • Establish governance processes, decision rights, ownership models and review mechanisms for patient intelligence capabilities.
  • Monitor adoption, utilization, conformance and business value realization, and enable continuous improvement of patient intelligence capabilities.
  • Enable understanding of patient opportunity, unmet need, patient journeys and care pathways, and support compliant patient identification, patient finding and precision health capabilities.
  • Partner with SPT Data Strategy, Data Engineering and Analytics Product teams to identify, prioritize, resolve and communicate patient data quality, availability and business-rule issues.
  • Support business assessment of data defects, impacts, root causes and remediation priorities, and ensure timely stakeholder communication on material data issues, enhancements and releases.
  • Coordinate business validation, user acceptance testing and readiness activities, and monitor data health, quality trends and adoption challenges.

What you'll need

  • Bachelor's degree required.
  • 8+ years of leadership experience in analytics, insights, decision intelligence, commercial strategy, capability management or business transformation.
  • Proven success translating enterprise strategy into integrated analytics or decision-intelligence capability roadmaps and measurable outcomes.
  • Experience establishing governance, operating models, decision rights, portfolio practices and value-realization frameworks.
  • Experience leading analytics modernization, automation, AI adoption, process transformation or operating-model change.
  • Demonstrated ability to translate business priorities into integrated analytics, data, AI, product and technology plans.
  • Strong track record partnering with senior business and technology leaders in complex matrix organizations.
  • Experience with commercial analytics, field effectiveness, CRM-enabled capabilities, customer engagement or field-orchestration analytics.
  • Experience leading and developing senior talent and globally distributed teams.
  • Essential: enterprise analytics and capability strategy execution; integrated business capability architecture; executive governance and decision-right design; enterprise portfolio and investment oversight; business-to-product translation; analytics modernization and operating-model transformation; field-orchestration analytics and decision-support capabilities; executive communication, influence and conflict resolution; global operating-model leadership; responsible AI, data governance, privacy and risk management; talent and succession leadership.

Nice to have

  • Advanced degree in Business, Analytics, Data Science, Engineering, Life Sciences, Public Health or a related field.
  • Desired skills: analytical thinking, brand awareness, business analytics, change agility, cross-functional collaboration, digital marketing, marketing strategies, media campaigns, project management, project planning, sales, stakeholder engagement, stakeholder management, waterfall model.

Details

  • Location: Hyderabad (Office), Hybrid, with 3 days a week in office mandatory.

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Senior Manager, Patient Analytics Excellence & Governance