Director, Intelligence Modernization & Productivity

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Director, Intelligence Modernization & Productivity based in the United States. This is an exciting opportunity to lead enterprise-wide analytics modernization and productivity initiatives within a dynamic, data-driven environment. You will shape the strategy, governance, and evolution of analytics capabilities to improve efficiency, scalability, quality, and business impact. Working closely with technology teams and business stakeholders, you will transform workflows, optimize operating models, and accelerate the adoption of AI-enabled ways of working. The role combines strategic leadership with hands-on prioritization, change management, and value realization. You will establish enterprise standards, reusable solutions, and governance frameworks that support consistent and scalable transformation. This remote leadership position offers the opportunity to influence cross-functional teams and drive meaningful improvements across a complex, globally integrated organization. \n 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. \n

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