About This Role The Associate Director, AI Adoption & Change Management will lead the people, process, and workflow changes associated with ongoing and future AI, digital, and technology advances across Project & Portfolio Management (PPM) and the Development Asset Leads (DAL) organization. The portfolio includes AI initiatives, Planisware platform enhancements, workflow automation, and reporting modernization. The role will develop and execute change strategies that enable successful adoption, integration, and sustained use of new capabilities across portfolio and program management operations. This is primarily a change management and business transformation role with a strong AI adoption component. Approximately 65% of the role will focus on organizational change, stakeholder engagement, workflow transformation, communications, enablement, and sustained adoption; approximately 35% will focus on AI-enabled ways of working, AI use-case adoption, and translating emerging AI capabilities into practical business value. This is not an AI engineering or data science role. The successful candidate will be technically fluent enough to partner effectively with AI, Data, and IT teams, while remaining focused on business adoption and measurable outcomes. What You’ll Do Develop and implement integrated change management strategies for AI initiatives, Planisware enhancements, workflow automation, reporting modernization, and associated process, role, and resource changes. Partner with business leaders, AI Innovation, Data Stewardship, IT, Legal, Compliance, and Quality to assess how proposed changes affect roles, handoffs, decision points, controls, and data expectations. Lead change activities including stakeholder engagement, sponsor alignment, communications, role-based enablement, training, job aids, office hours, and communities of practice. Assess change impact, organizational readiness, capability gaps, and resistance; develop targeted interventions that improve confidence and sustained adoption. Build and manage change champion networks across Program Management, Program Planning, Development Asset Leads, and broader Development functions to accelerate adoption and reinforce desired behaviors. Help business teams identify practical AI opportunities and determine when the best response is AI enablement, workflow redesign, process simplification, behavior change, or a combination of these. Translate AI capabilities and limitations into clear workflow implications, role expectations, human-review requirements, and user guidance. Define, monitor, and report adoption metrics, user engagement indicators, value-realization measures, and solution performance KPIs to leadership. Promote responsible AI adoption by helping users understand appropriate use, limitations, human oversight, governance expectations, data considerations, and compliance obligations. Coordinate user acceptance testing, release readiness, go-live support, and post-implementation adoption monitoring for technology and AI initiatives. Required Skills Bachelor’s degree in a relevant discipline; BS/BA with 8+ years, MS with 6+ years, or equivalent experience in change management, technology adoption, digital transformation, or portfolio operations. Demonstrated experience leading organizational change and business transformation, preferably as a business lead for the implementation and adoption of new systems, digital technologies, AI-enabled solutions, or enterprise platforms. Demonstrated experience leading organizational change and business transformation, including adoption of new systems, digital technologies, AI-enabled solutions, or enterprise platforms. Demonstrated ability to identify and address barriers to AI adoption, including process complexity, capability gaps, resistance, uncertainty about role impacts, and lack of confidence in AI-generated outputs. Working knowledge of AI, generative AI, analytics, automation, and data-driven technologies, including their business applications, limitations, risks, and potential impact on roles, workflows, controls, and decision-making. Experience leading the people, process, and workflow changes associated with AI-enabled solutions, including readiness assessment, workflow redesign, capability building, user education, feedback collection, reinforcement, and sustained adoption. Experience applying structured change management methodologies such as Prosci, ADKAR, Kotter, or an equivalent approach. Ability to translate complex AI, analytics, and data concepts into practical business value, workflow implications, and clear communications for both senior leaders and end users. Experience developing adoption strategies that integrate stakeholder engagement, sponsor alignment, readiness, communications, training, feedback mechanisms, measurement, and reinforcement. Ability to partner with technical teams on AI use cases without being responsible for building models or serving as the primary AI engineer. Excellent ability to align stakeholders around program goals, clarify decision rights, and build consensus across a matrixed organization. Excellent leadership, communication, facilitation, and interpersonal skills. Strong strategic planning and implementation skills, including experience defining adoption KPIs and value-realization measures. Preferred Skills Experience supporting adoption of generative AI, copilots, AI agents, intelligent automation, or AI-enabled business workflows. Knowledge of R&D portfolio and program management, resource management, and enterprise PPM systems such as Planisware. Experience with enterprise AI and productivity tools such as Microsoft Copilot or Copilot Studio, Power Platform, SharePoint, Power BI, or Tableau. Tool-specific expertise is helpful but is not the primary qualification. Understanding of responsible AI principles, AI governance, human-in-the-loop review, privacy, data stewardship, and compliance considerations in regulated environments. Biotech, pharmaceutical, or life sciences R&D experience strongly preferred; advanced degree preferred. Job Level: Management Additional Information The base compensation range for this role is: $144,000.00-$198,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance. In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being; including, but not limited to: Medical, Dental, Vision, & Life insurances Fitness & Wellness programs including a fitness reimbursement Short- and Long-Term Disability insurance A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31) Up to 12 company paid holidays + 3 paid days off for Personal Significance 80 hours of sick time per calendar year Paid Maternity and Parental Leave benefit 401(k) program participation with company matched contributions Employee stock purchase plan Tuition reimbursement of up to $10,000 per calendar year Employee Resource Groups participation Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States. As Biogen recently acquired Apellis, you can find additional open jobs on our Apellis website here. Not ready to apply? Submit your resume to our Talent Community and we’ll contact you if any applicable jobs become available. We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. Scam Advisory: Please be cautious of scam recruitment offers claiming to be from Biogen. All legitimate correspondence from a Biogen employee will come from a "@biogen.com" email account. Learn more about scams and fraudulent job postings here.

AI Adoption & Change Management Specialist.

more at Biibhr.

Lead of Digital Marketing Measurement and Data Science

Head of Quality, Device and Combination Products

Medical manager

similar roles.

Software Engineer - Machine Learning

Engineering Manager - Machine Learning

Technology Risk Management and AI Governance Senior Consultant

IN_Senior Associate_ Snowflake Senior Data Engineer_GCC_Advisory_Bangalore

Data Scientist

Machine Learning Engineer-Technical Lead