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The opportunity

Hitachi Energy Transformers is seeking a visionary and analytically strong Innovation Technology Scouting Lead to shape how we identify, evaluate, and connect emerging technologies to our business needs across the transformer value chain.

In this strategically impactful role, you will act as our global innovation radar, scanning ecosystems, tracking technology shifts, and translating early‑stage signals into clear, actionable insights that inform R&D, portfolio, and executive‑level decision‑making.

Working within the Global Innovation Organization, you will collaborate closely with R&D, Product Management, Strategy, and Business Development, as well as external partners such as startups, scale‑ups, and research institutes. Your insights will directly influence early technology bets, pilot selection, partnerships, and long‑term R&D investment decisions.

This role is ideal for someone who combines strong analytical capability with curiosity and structure, enjoys working at the intersection of technology and strategy, and is motivated by shaping future‑focused decisions in a global, fast‑moving environment.

How you will make an impact

• Build and maintain global technology landscapes, including maturity maps, benchmarking, and ecosystem overviews to support strategic and portfolio‑level decisions
• Produce structured intelligence on technology trends, competitor innovation moves, and ecosystem developments to inform early strategic assessments
• Capture business and R&D needs through workshops, interviews, and discovery sessions, aligning scouting priorities with long‑term roadmaps
• Develop and govern structured scouting databases covering startups, technologies, research partners, and suppliers relevant to the transformer business
• Design and apply technology assessment frameworks, including scoring models, due‑diligence templates, and maturity evaluations
• Collaborate closely with R&D, Product Management, Strategy, and Business Development to translate scouting insights into early pilots and validated opportunities
• Coordinate global scouting partners such as consultancies, venture scouts, accelerators, and VCs, ensuring quality, KPIs, and high‑value insights
• Facilitate engagement between internal teams and external innovators through matchmaking sessions, discovery calls, and exploration workshops

Your background

• Degree in Innovation Management, Engineering, Business Innovation, Technology Strategy, or a related field
• Minimum 5 years’ experience in technology scouting, innovation management, market intelligence, venture‑clienting, or related roles
• Strong understanding of emerging technologies within energy, digitalization, industrial systems, or adjacent domains
• Proven ability to analyze complex information, synthesize insights, and distinguish meaningful signals from noise
• Experience evaluating early‑stage technologies, including maturity and risk assessments
• Familiarity with structured scouting tools, databases, and review methodologies
• Comfortable working in global, matrixed organizations and engaging diverse stakeholders
• Genuine interest in open innovation, technology ecosystems, and shaping future‑oriented decisions

What we offer

• Collective agreement and flexible working hours
• Health care and wellness allowance
• Strong career opportunities within Hitachi Energy in Sweden and globally
• Extensive training and development opportunities
• Diverse, international workplace with 70+ nationalities in Sweden
• Supplementary parental leave compensation
• Employee benefit portal with a wide range of discounts and perks

More about us

Are you ready for a new and exciting challenge? If this sounds like you, we look forward to your application. Applications are reviewed on an ongoing basis.

For Sweden, Union representative:

Sveriges Ingenjörer: Håkan Blomquist, +46 10 738 31 52

Unionen: Jens Lindbäck, +46 10 738 18 68

Ledarna: Frank Hollstedt, +46 10 738 70 43

All other questions: Talent Acquisition Partner, Malin Johansson, malin.johansson@hitachienergy.com

Who We Are

Umain, part of the Nordic consulting house Eidra, specializes in accelerating top-line growth through digital strategy and innovation. We’re a fast-growing consultancy already partnering with industry leaders—from cutting-edge automotive brands to forward-looking tech companies. Together with Eidra’s 1200+ strategists, creatives, and engineers spread across Stockholm, New York, and beyond, our vision is to drive the integration of AI, ML, and Data Science in businesses. Now, we’re building a dedicated team to define that future—and we want you to help lead the way.

Job Summary:

We are looking for a visionary Tech Director in AI Engineering with a proven track record of leading impactful solutions to head Umain’s AI stream, guiding clients through AI adoption complexities while leveraging your skills to secure deal closures, enhance project delivery, and build a top-tier team that positions Umain as an AI Engineering leader.

What We Offer:

• A leadership role in defining and executing AI strategy for client projects, whilst exploring and pushing the boundaries of applied AI
• A dynamic and collaborative work environment where you will significantly influence Umain’s AI direction and build an industry-leading team
• The chance to lead multidisciplinary teams in an ambitious setting as you help translate cutting-edge AI concepts into real-world value
• Opportunities for professional and personal growth, supported by unique challenges, fantastic colleagues, and a dedicated personal coach

As a Tech Director, AI Engineering at Umain, your role will involve…

• Commercial impact
  • We expect that you will play a key role in securing major contracts and driving successful deal closures, while also ensuring the team remains at the forefront of the latest AI advancements. That means that you will scale your expertise to:
  • Influence clients by establishing trust as a recognized AI authority, seamlessly onboarding them to our methodology, while addressing risks and outlining effective mitigation strategies.
  • Shape and scope proposal: what are deliverables, what is in/out scope, how to phase and price this.

Technical Leadership:

• Lead Umain’s strategy in AI/ML
• Be the client-facing expert
• Represent Umain AI within Eidra

AI Solution Architecture:

• Architect appropriate AI solutions for clients, ability to understand and communicate trade-offs

• Help teams choose the right tech
• Understand compliance issues for different markets, have your finger on the pulse legal framework development within AI

Client Engagement & Strategy:

• Be a primary advisor for clients
• Create actionable AI strategies to solve complex business problems/challenges
• Good ability to communicate potential, limitation, suitability and risk around AI frameworks/solutions

Overall accountable for QA and improve deliveries:

• Drive project success by strategically shaping its scope: breaking down complex challenges into manageable parts, prioritizing the key deliverables, and ensuring high-quality outcomes
• Direct and oversee the journey to production by guiding the team to focus on critical priorities, clarifying roles and responsibilities, identifying and resolving bottlenecks, addressing overlooked details, maintaining clear client communication, and proactively anticipating potential challenges to enhance delivery quality.
• Over time, you’ll establish scalable QA procedures that cater to evolving project demands to ensure consistent excellence and continuous improvement across deliverables

Who You Are:

• You possess a strong intuition for AI, and understand how to balance trade-offs between its transformative potential and its practical limitations
• You have a proven ability to architect and oversee the delivery of complex, scalable AI solutions that meet concrete business needs
• You thrive in dynamic consultancy environments, enjoy engaging with clients to translate their business needs and contexts into effective AI strategies
• You believe in the power of collaboration and diversity, recognizing the impact you can make by leading and working closely with multi-disciplinary teams
• Familiarity with the modern AI stack (e.g., common frameworks like PyTorch/Tensorflow, concepts like transfer learning, PEFT, multi-modal models, MLOps principles) is essential for guiding architectural decisions

CellaVision AB – Lund, Sweden

About us

CellaVision is a global leader in digital cell morphology within hematology, and our analyzers are trusted in healthcare services around the world. We focus on innovation, working with the latest in programming, digital imaging, and machine learning to provide value to our customers. By joining us, you’ll be part of a creative, skilled team shaping the future of medical technology

www.cellavision.com

Lead the future of AI-driven diagnostics

What if your next role was not only about building advanced AI systems, but also about improving healthcare diagnostics worldwide?

At CellaVision, machine learning has been an important part of our technology for more than 30 years. We are now consolidating our expertise into a dedicated machine learning organization, further strengthening capabilities built over decades.

We are now looking for a Director Machine Learning to lead this journey.

Why this role matters

CellaVision is a global leader in digital microscopy for hematology, helping laboratories deliver faster and more accurate diagnoses. Our solutions combine advanced imaging, robotics, and AI-powered analysis to improve patient outcomes worldwide.

As Director Machine Learning, you will:

• Lead and develop a strategically important machine learning organization

• Work alongside some of the most experienced experts in machine learning and medical image analysis

• Help shape the future of AI-powered diagnostics in a company where machine learning is already proven, deployed, and used at scale

• Drive the development of advanced algorithms used in laboratories around the world

This is a unique opportunity to combine technical leadership, organizational influence, and meaningful impact on healthcare.

Your mission

You will lead and develop CellaVision’s machine learning function, with responsibility for both technical excellence and organizational growth.

Your responsibilities include:

• Building, leading, and developing a highly skilled machine learning organization, including a dedicated validation team

• Driving the design, development, and deployment of advanced machine learning models for medical image analysis

• Ensuring robustness, performance, and regulatory-grade quality of algorithms

• Establishing efficient processes, workflows, and ways of working

• Collaborating cross-functionally to translate clinical and business needs into technical solutions

• Engaging with universities and research partners to stay up to date with the latest developments in machine learning and AI

• Ensuring CellaVision remains at the forefront of developments in machine learning and AI

As Director Machine Learning, you will play an important role in shaping CellaVision’s long-term machine learning capabilities. You will report to the VP Devices & Software and be part of the Devices & Software division’s management team.

Who you are

You are an experienced technical leader with deep expertise in machine learning. You enjoy going deep into complex problems while also enabling others to perform at their best.

You likely bring:

• More than 10 years of experience in R&D, including several years in leadership roles

• Strong expertise in machine learning and AI, ideally within medical imaging

• Experience delivering machine learning solutions from research to production

• A track record of building and leading high-performing teams, including senior talent

• The ability to bridge technical and non-technical stakeholders

• A structured mindset, with experience working in quality- and regulation-driven environments

• Experience working in regulated or other quality-critical environments is considered an advantage

• A strong academic background in applied mathematics, computer science, or a related field

• A genuine interest in developments within machine learning research and modern AI methods

Most importantly, you are motivated by solving meaningful and technically challenging problems together with highly skilled colleagues.

Why CellaVision

• More than three decades of machine learning innovation

• Technology that contributes directly to faster diagnoses and improved patient care

• A global company with products used in laboratories in more than 40 countries

• An engineering-focused environment built on quality, collaboration, and long-term thinking

• The opportunity to shape and develop a new organizational unit with strong existing expertise and technology

Practical details

• Location: Lund, Sweden

• Reporting to: VP Devices & Software

• Travel: Limited

Join us

At CellaVision, you will combine advanced machine learning, technical leadership, and real-world healthcare impact.

If you are ready to help shape the next generation of healthcare diagnostics, we would love to hear from you.

In this recruitment process, we are partnering with Radeptus. For any questions regarding the position, please contact Jenny Månsson at +46 703 318 506 or via email at jenny@adeptus.se.

Please submit your application here