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Director, Intelligence Modernization & Productivity

Jobgether

Remote · US, United States · Full-time · Posted Oct 28, 2026

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About this role

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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

AWSAIGitUI
LOCATION
Remote · US, United States
WORK MODE
Remote
JOB TYPE
Full-time
POSTED
Oct 28, 2026

Source: Jobgether Careers

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