Senior Manager, Patient Analytics Excellence & Governance
Location – Hyderabad #LI Hybrid
Major Accountabilities
- The Senior Manager, AEG serves as the enterprise business owner for patient or customer intelligence frameworks, standards, and governance.
- This role is accountable for defining how analytics intelligence is structured, governed, standardized, and adopted across the organization.
- The role establishes common business definitions, decision frameworks, business rules, methodologies, and requirements that enable consistent, trusted, and reusable patient insights across brands, therapeutic areas, and enterprise decision processes.
Patient / Customer Intelligence Ownership
- This role will co-own the patient or customer intelligence strategy, standards, business rules, analytics intelligence frameworks, respective KPIs, governance processes, business requirements, and enterprise patient intelligence assets.
- The role is accountable for defining what patient / customer intelligence capabilities are needed, how they are governed, how success is measured, and how they support enterprise decision making.
- The SM, AEG will serve as business partner guiding capability intelligence requirements, prioritization, governance, adoption, and value realization.
Enterprise Analytics Excellence & Roadmap
- Help define and maintain the enterprise patient intelligence capability strategy and roadmap.
- Enable alignment of patient intelligence priorities with enterprise analytics, AI, data, and decision intelligence strategies.
- Identify capability gaps, modernization opportunities, and future-state patient intelligence needs.
Enterprise Patient Frameworks & Standards
- Help establish common patient definitions, business rules, KPIs, analytical methodologies, and decision frameworks.
- Help define and govern reusable patient intelligence assets that scale across brands and therapeutic areas.
- Standardized approaches for patient opportunity assessment, unmet need identification, care pathway analysis, and patient insights generation.
Enterprise Customer Frameworks & Standards
- Help establish common customer, account, HCP, HCO, payer, and network intelligence definitions, business rules, KPIs, analytical methodologies, and decision frameworks.
- Help define and govern enterprise 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.
Patient Intelligence Data Strategy & Stewardship
- Define business requirements for patient-related data assets, master data, reference data, business rules, and intelligence capabilities.
- Provide business support for patient intelligence data investigations, business-rule interpretation, KPI validation, and remediation prioritization.
- Serve as the business steward for patient intelligence definitions, standards, and requirements while SPT retains ownership of technical data strategy, architecture, data engineering, and master data management operations.
- Collaborate on data investigations, issue resolution, stakeholder communications, and remediation activities impacting patient intelligence capabilities.
- Support business validation, user acceptance testing, and successful adoption of patient-related data products and capabilities.
Customer Intelligence Data Strategy & Stewardship
- Help define business requirements for customer, account, HCP, HCO, payer, network, affiliation, reference, and master data assets required to support customer intelligence capabilities.
- Provide business support for customer data investigations, business-rule interpretation, KPI validation, stakeholder communications, and remediation prioritization.
- Serve as the business steward for customer intelligence definitions, standards, and requirements while SPT retains ownership of technical data strategy, architecture, data engineering, and MDM operations.
- Support business validation, user acceptance testing, and successful adoption of customer-related data products and capabilities.
Patient Intelligence Portfolio & Prioritization
- 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.
- Support to ensure patient intelligence investments align with enterprise priorities, strategic objectives, capacity constraints, and business value.
- Evaluate emerging business needs, data opportunities, and technology capabilities to inform future roadmap decisions.
Customer Intelligence Portfolio & Prioritization
- Help establish governance processes for intake, prioritization, trade-off decisions, and value realization.
- Support to ensure customer intelligence investments align with enterprise priorities, strategic objectives, capacity constraints, and business value.
- Evaluate emerging business needs, data opportunities, and technology capabilities to inform future roadmap decisions.
- Serve as the business partner of the customer intelligence capability backlog, ensuring priorities, requirements, and delivery plans remain aligned to evolving business needs.
- Participate in agile planning, release governance, and roadmap reviews to ensure delivery teams are focused on the highest-value business outcomes.
Business-to-Product Translation
- Help translate priority business questions into analytics, data, AI, technology, and workflow requirements.
- Support traceability from business objectives through capability design, implementation, adoption, and value realization.
- Support integrated business and technology roadmap planning.
- Help translate prioritized business needs into well-defined epics, features, requirements, and capability enhancements suitable for agile delivery teams.
Governance, Adoption & Value Realization
- Establish governance processes, decision rights, ownership models, and review mechanisms for patient intelligence capabilities.
- Monitor adoption, utilization, conformance, and business value realization.
- Enable continuous improvement and maturity of enterprise patient intelligence capabilities.
Patient Opportunity & Precision Health Enablement
- Enable enterprise understanding of patient opportunity, unmet need, patient journeys, and care pathways.
- Support the evolution of compliant patient identification, patient finding, and precision health capabilities through clear business requirements, standards, and governance.
- Enable patient intelligence capabilities to effectively support future commercial and clinical decision making.
Data Stewardship, Issue Resolution & Business Communications
- Partner with the 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.
- Ensure timely stakeholder communication regarding material data issues, enhancements, releases, and capability changes.
- Coordinate business validation, user acceptance testing, and readiness activities for patient intelligence data assets and related capabilities.
- Monitor ongoing data health, quality trends, and adoption challenges, escalating risks and driving corrective actions as needed.
Minimum Requirements
Education: Bachelor’s degree required. Advanced degree in Business, Analytics, Data Science, Engineering, Life Sciences, Public Health, or a related field not mandatory but preferred.
- 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 Requirements
- 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
Location: Hyderabad NKC | Hybrid | 3 days a week in office is mandatory.
