Data and AI Transformation Lead & Country Delivery Lead - Sweden

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