Data and AI Transformation Lead & Country Delivery Lead
Purpose of the Role
Serve as the Program Leader for a large‑scale Data Transformation initiative and act as the Delivery Leader for AI & Analytics (AIA) across the Nordics region. The role drives strategic vision, execution excellence, stakeholder alignment, and organisational readiness for data, cloud, and AI‑enabled transformation programs.
Key Responsibilities
1. Strategy & Vision
- Define the data transformation vision, roadmap, and success metrics for the region.
- Partner with executive leadership to shape and execute long‑term transformation strategy.
2. Program Leadership
- Lead cross‑functional programs spanning technology, process, and data.
- Establish governance, communication structures, and decision‑making frameworks to ensure smooth execution.
3. Stakeholder Alignment
- Act as the bridge between business, technology, and functional teams.
- Facilitate stakeholder engagement, manage expectations, and drive cohesive change adoption.
4. Change Management
- Drive organisational readiness, communication, training, and culture‑shift initiatives.
- Mitigate resistance and embed new ways of working across teams.
5. Talent Management
- Lead, mentor, and inspire teams to foster a collaborative and innovative environment.
- Plan for skill development, career progression, and nearshore capability expansion.
- Bridge demand–supply gaps through proactive workforce planning.
6. Delivery Excellence
- Oversee delivery of data and analytics programs from inception to completion.
- Embed a culture of AI‑led continuous improvement and innovation.
- Develop contingency plans to address potential risks.
7. Cross‑Sell & Up‑Sell
- Engage with clients to understand needs and deliver tailored solutions.
- Collaborate across teams to expand portfolio and client base.
- Lead customer discussions to showcase practice capabilities and insights on Agentic AI.
Experience Required
- Data and BI programs
- Leading multiple transformation initiatives
- Senior technical leadership
- Strong understanding of data, cloud, and AI technologies
- Ability to collaborate effectively with diverse technical and non‑technical stakeholders
Key Competencies
- Technical Expertise: Advanced knowledge of platform architecture, cloud, and integration technologies
- Strategic Thinking: Ability to align technology with business strategy
- Leadership: Strong mentoring, influencing, and communication skills
- Innovation: Ability to evaluate and adopt emerging technologies
- Collaboration: Skilled at working across functions and geographies
- Problem‑Solving: Strong analytical and decision‑making abilities
- Governance: Experience establishing and enforcing technical standards
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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