Director, Analytics Excellence & Governance

Job Description Summary

Job Description

Director, Analytics Excellence & Governance  

Location – Hyderabad #LI Hybrid 

Major Accountabilities:

Enterprise Capability Strategy & Roadmap

• Translate enterprise analytics strategy into integrated capability priorities, investments, roadmaps, and operating plans.
• Ensure alignment across patient, customer, field, decision intelligence, modernization, data, AI, and technology priorities.
• Design integrated capability roadmaps, resolving cross-capability gaps, overlaps, dependencies, and priorities.
• Continuously evolve the portfolio based on business needs, outcomes, and emerging capabilities.

Integrated Capability Architecture

• Establish the business capability architecture connecting intelligence, analytics, decision support, workflows, measurement, and execution.
• Define capability boundaries, ownership, decision rights, and operating-model expectations.
• Ensure analytics domains operate as an integrated ecosystem, promoting scalability, reuse, interoperability, and consistency across brands and therapeutic areas.

Enterprise Governance & Standards

• Establish and drive enterprise analytics governance, executive review mechanisms, decision rights, and operating principles across AIDE.
• Set standards for definitions, methodologies, quality, information stewardship, privacy, compliance, risk, and responsible AI, while holding capability leaders accountable for domain governance, lifecycle management, and adoption.

SPT Partnership 

• Serve as the AIDE counterpart to SPT for analytics products, data capabilities, AI solutions, CRM analytics, and field-orchestration enablement, ensuring capability needs translate into coherent product, data, AI, and technology plans.
• Enable joint governance across roadmaps, investments, capacity, dependencies, issue escalation, and value realization, while resolving key business-to-technology trade-offs and maintaining clear ownership boundaries.

Analytics Modernization & Operating Model Transformation 

• Set the enterprise direction for analytics modernization, productivity, process re-engineering, and human-plus-agent ways of working, including responsible AI-enabled workflows, reusable patterns, human oversight, and measurable productivity improvements.
• Drive elimination of fragmented, duplicative, manual, and obsolete analytics processes while holding AIDE leaders accountable for adoption, quality improvement, capacity release, and realized value.

Global Capability Operating Model

• Help govern the globally integrated operating model across EH and HYD capability teams, establishing expectations for decision rights, shared accountability, governance, workforce planning, and delivery collaboration.
• Partner with AIDE leadership on capability roadmaps, capacity, talent priorities, and operating-model evolution, while driving adoption of common standards, methodologies, reusable assets, and scalable delivery practices.
• Foster a One-Team culture grounded in transparency, trust, knowledge sharing, capability development, and shared outcomes.

Field-Orchestration Analytics Capability Leadership

• Provide executive oversight and enterprise governance for analytics and insights capabilities supporting field orchestration, including investment guardrails for field intelligence capabilities.
• Sponsor integrated planning with AIDE Commercial I&A, capability leaders, and SPT, ensuring clear decision rights across business strategy, analytics requirements, decisioning capabilities, and technology ownership.

Enterprise Portfolio Oversight

• Establish portfolio governance, investment criteria, prioritization principles, and capacity guardrails, approving cross-capability priorities, material resource trade-offs, and major roadmap decisions within delegated authority.
• Review performance against strategic imperatives, roadmaps, investments, productivity objectives, capacity plans, risks, and value commitments, while resolving portfolio conflicts and cross-domain dependencies.
• Hold capability leaders accountable for delivery against approved priorities and outcomes.

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. 

• 12+ 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. 

Preferred Requirements:

• Experience in pharmaceutical, biotechnology, life sciences, or healthcare, with strong understanding of pharmaceutical commercial and customer-engagement models.
• Experience serving as an executive business owner or sponsor for enterprise analytics, digital, AI, CRM, customer-engagement, or field-orchestration capabilities.
• Exposure to AI-enabled analytics, intelligent automation, decision intelligence, next-best-action, human-plus-agent operating models, and Insights-to-Action interfaces.
• Proven experience leading enterprise transformation, capability adoption, product management, agile delivery, enterprise architecture, and capability-management initiatives.
• Strong executive storytelling, strategic facilitation, and senior stakeholder engagement skills.

Leadership skills:         

• Lead, inspire, and develop a high-performing team through Associate Director and SM leaders, with clear accountability for value creation, strategic decision-making, business impact, and delivery quality.
• Own end-to-end talent and capability planning, including hiring, onboarding, coaching, performance management, succession, career development, engagement, and retention, while building the team’s strategic consulting and executive advisory capabilities.
• Align business, analytics, data, AI, technology, and global delivery teams; resolve ambiguity, conflicts, and dependencies across capabilities; and ensure disciplined execution against strategic priorities and measurable outcomes.
• Foster a culture of collaboration, constructive challenge, innovation, inclusion, continuous improvement, and accountability across Hyderabad and cross-functional teams, while supporting I&A and AIDE leadership on talent priorities, operations, capability planning, and site-level initiatives.

Success Measurements: 

• Capability roadmaps, investments, and operating plans are aligned with enterprise strategy, governed through clear ownership and decision rights, and delivered against measurable outcomes.
• Field-orchestration analytics strategy, investments, and governance remain aligned across Commercial I&A, field functions, SPT, and capability owners, with timely resolution of key risks, issues, and dependencies.
• Enterprise standards, governance frameworks, and reusable assets are consistently adopted across capability domains, enabling modernization benefits across productivity, quality, scalability, cycle time, and capacity.
• US and HYD teams demonstrate shared ownership, common operating practices, and effective delivery, with capability leaders accountable for approved roadmaps, adoption commitments, and value outcomes.

Skills:

•  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. 

Direct Reports: Associate Director and Senior Manager level leaders across Intelligence Strategy & Governance team with influence to broader AIDE leadership and talent .

Impact on the Organization: 
Enterprise-wide impact through capability strategy execution, governance, business architecture, investment oversight, modernization, and global operating-model leadership. Shapes how analytics and intelligence are translated into scalable decision-support capabilities that improve customer, patient, field, and business outcomes. 

Skills Desired