Director, Intelligence Modernization & Productivity

Accountabilities: Lead enterprise modernization strategy: Define and maintain the analytics modernization strategy and roadmap, aligning priorities with enterprise analytics, AI adoption, productivity, and workforce transformation objectives. Drive workflow transformation: Identify opportunities to simplify, standardize, automate, and modernize analytics processes and operating models to improve efficiency, quality, and scalability. Manage the modernization portfolio: Own the modernization capability backlog, project intake, prioritization, capacity planning, trade-off decisions, and value realization processes. Establish governance and standards: Develop and maintain governance frameworks, methodologies, operating principles, reusable patterns, reference workflows, and enterprise modernization assets. Shape future-state operating models: Define scalable analytics delivery models, including AI-enabled workflows and human-plus-agent collaboration approaches that improve productivity and decision-making. Partner with technology and business teams: Serve as the primary business counterpart to AI and platform product teams, translating business needs into clear requirements, modernization priorities, and adoption strategies. Lead change management and adoption: Establish frameworks to support organizational change, encourage adoption of modernized workflows, measure outcomes, and continuously improve transformation initiatives. Coordinate global collaboration: Work with international counterparts to align priorities, roadmaps, standards, requirements, and reusable solutions while promoting shared accountability and consistent outcomes. Measure business impact: Define performance indicators and value measurement approaches to evaluate modernization initiatives, demonstrate productivity improvements, and guide future investment decisions. Requirements Education: Bachelor's degree in Business, Analytics, Data Science, Engineering, Technology, Operations, or a related discipline is required. An advanced degree in a relevant field is preferred. Professional experience: At least 8 years of experience in analytics, business transformation, process improvement, automation, productivity, operations, or a related field. Transformation leadership: Demonstrated experience leading cross-functional transformation initiatives, operating model redesign, workforce evolution, organizational change, or technology adoption programs. Strategic and business acumen: Ability to translate business objectives into scalable analytics capabilities, workflow improvements, and technology-enabled solutions that deliver measurable value. Governance expertise: Experience establishing governance frameworks, standards, methodologies, operating principles, or structured processes for enterprise-wide initiatives. Roadmap and portfolio management: Proven ability to manage capability roadmaps, backlogs, intake processes, prioritization frameworks, capacity planning, and competing business demands. Cross-functional collaboration: Experience partnering with analytics, technology, product, and business teams to align priorities, define requirements, and deliver shared outcomes. Change management and adoption: Ability to develop adoption strategies, influence stakeholders, support organizational change, and measure the effectiveness of new ways of working. AI and digital transformation awareness: Understanding of AI-enabled workflows, automation, productivity tools, and emerging approaches to modernizing enterprise processes. Communication and influence: Strong stakeholder management, decision-making, problem-solving, and communication skills, with the ability to influence senior leaders and collaborate across a globally integrated organization. Language skills: Fluency in English is required; additional languages are desirable. Preferred industry experience: Background in pharmaceuticals, biotechnology, healthcare, life sciences, enterprise process modernization, or AI-enabled digital transformation is an advantage. Benefits Competitive annual salary: Expected base salary range of $185,500–$344,500 , depending on relevant skills, experience, and other applicable factors. Performance-based incentives: Eligibility for a cash incentive based on performance. Potential equity awards: Eligibility for annual equity awards, depending on the level of the position. Comprehensive healthcare coverage: Medical, life, and disability benefits for eligible U.S.-based employees. Retirement benefits: 401(k) retirement savings plan with employer contributions and matching. Generous paid time off: Vacation, personal days, holidays, and additional leave options. Remote work flexibility: Work remotely from within the United States, subject to applicable employment restrictions. Professional impact and growth: Opportunity to lead enterprise-level transformation initiatives, influence strategic priorities, and advance AI-enabled analytics capabilities. Collaborative environment: Work with cross-functional teams and international counterparts on high-impact modernization programs. Travel opportunities: Domestic and/or international travel may be required based on business needs and the hiring manager's direction. No relocation assistance: Relocation support is not provided for this position.