Technical Lead for Analytics Area in Data & Analytics team

Nordea; Helsinki; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Nordea is seeking a Technical Lead to steer the ML model pipeline capability within the Analytics area. Based in Helsinki or Oulu, you will guide data scientists and ML engineers, define standards, and advance deployment and governance across Nordic markets.

You will lead platform enhancements on AWS SageMaker, ensure reproducible feature data, and collaborate with security and central teams to align with Nordea’s technology strategy.

Qualifications

• 5+ years of leadership in software/data/ML engineering.
• Strong Python production experience with modern tooling.
• Experience building production-grade platforms with observability and CI/CD.
• Knowledge of AWS services including S3/IAM and cloud infrastructure.
• Excellent English communication and stakeholder management.

Responsibilities

• Act as the technical authority for the ML model pipeline capability.
• Lead end-to-end ML pipelines from feature prep to deployment and monitoring.
• Integrate pipelines with Customer 360 data products and Snowflake data platform.
• Implement validation, drift detection, monitoring, and governance for models.
• Drive continuous improvement and cross-functional collaboration across teams.

Skills

Engineering Leadership

Python

Platform Operations

AWS

Communication

Tools

AWS SageMaker

Snowflake

Apache Iceberg

Spark

TensorFlow

PyTorch

Job description

Job ID:6383

We are looking for a Technical Lead to join the Analytics area within Service Domain Data & Analytics on a full-time, permanent employment agreement to lead the machine learning model pipeline capability team.

About Our Team

Our role is to harness the power of big data to drive smarter business decisions and build machine learning pipelines that productize business models across the Nordic countries.

You will be leading a team of data scientists and machine learning engineers within the Data & Analytics domain in Digital Technology. The team is based in Helsinki or Oulu, Finland, with close collaboration across the Data & Analytics Hub. You will serve as the technical anchor and lead engineer for our machine learning model pipeline capability, which supports business analytics and commercial use cases across the Nordic countries.

You as the Leader, play a key role in developing and supporting your team members to reach their aspirations and unleash their full potential.

Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us.

What You’ll Be Doing

Main responsibilities in this role:

• Technical Leadership: Act as the technical authority for the ML model pipeline capability. Define engineering standards, reference architectures, model lifecycle patterns, and reliable ways of working for your team.
• ML Pipeline Engineering & Platform Enhancement: Lead the design and hands-on development of end-to-end pipelines covering feature preparation, model evaluation, validation, deployment, and monitoring. Lead the development of the platform built on top of AWS SageMaker, reducing manual steps and improving speed, reliability, and repeatability.
• Data Integration & Feature Engineering: Integrate model pipelines with trusted Customer 360 data products and the Snowflake data platform. Establish reproducible feature datasets and training flows.
• Model Quality, Observability & Governance: Implement model validation, drift detection, performance monitoring, latency tracking, auditability, and responsible AI practices. Standardize deployment patterns and improve model promotion across environments while working within security and cloud governance constraints.
• Continuous Improvement & Collaborative Governance: Continuously identify and implement ways to improve the team’s engineering effectiveness, delivery flow, quality, and developer experience. Evaluate, pilot, and scale responsible AI-powered workflows. Partner closely with data scientists, data engineers, domain architects, product owners, business stakeholders, and central security teams to align model delivery with Nordea’s long-term technology strategy.

Who You Are

This is the right role for you if you are a hands-on technical leader who leads by example, writes clean and maintainable code, and is passionate about mentoring others. You enjoy bridging the gap between business outcomes, data science, and the engineering discipline needed to run ML models reliably in production. You are comfortable working across model development, data platforms, cloud infrastructure, governance, and operational support. You continuously look for ways to improve team performance, shorten feedback loops, and make responsible use of AI-powered workflows. You possess strong coaching and communication skills, with the patience and structured approach needed to guide teams through a major platform transition.

Your background and skills include

• Engineering Leadership: 5+ years of experience in software engineering, data engineering, machine learning engineering, or related technical fields, with at least 3 years leading engineering teams or acting as a Technical Lead in large-scale technology initiatives.
• Python & Engineering Practices: Strong proficiency in Python and production experience with modern engineering frameworks and libraries. Experience with data processing, analytics, or machine learning tooling such as Pandas, NumPy, scikit-learn, PyTorch, or TensorFlow is beneficial.
• Platform Operations: Experience building, operating, and monitoring production-grade platforms, including observability, reliability, automation, incident analysis, and continuous improvement practices.
• Cloud Engineering: Strong knowledge of AWS services such as S3, IAM, and container or orchestration services, plus experience with infrastructure as code or CI/CD pipelines.
• Communication: Excellent verbal and written communication skills in English, with the ability to explain complex technical architectures, platform designs, and migration plans clearly to both executive stakeholders and technical teams.

It would be ideal if you also

• Have hands-on experience with AWS SageMaker, ML pipelines, model lifecycle management, or MLOps practices.
• Possess a strong understanding of Snowflake, Apache Iceberg, Spark, and data products that support analytics, feature engineering, or model development.
• Have experience with pseudonymization, responsible AI, data protection, model risk, and the controls needed to operate data and analytics solutions in a regulated environment.

As the Leader you are expected to and have a crucial role in

• Creating purpose by translating strategy into operational and actionable plans to showcase how we create value for our customers and impact business priorities.
• Empowering people by identifying individual development opportunities to support growth and encourage them to share own ideas, concerns and learnings.
• Driving performance by recognising individual contributions and collective victories to maintain a healthy balance through measurable goals and clear priorities for each team member.
• Developing teams by nurturing a dynamic team culture, that emphasises trust and respect to ensure that everyone understands their unique value and contribution.
• Fostering inclusion by creating equal opportunity through curiosity about all aspects of diversity in your team to evaluate habits and perspectives on a continuous basis.

What We Offer

People come here when they want to get somewhere. For some, it’s to take their career to the next level. For others, it’s to break new ground within their area of expertise – in other words, with us, you will always move forward.

A culture that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment.

Hybrid working model – we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility.

Diversity and inclusion are a natural part of our daily work. We know that an inclusive workplace is a sustainable one. We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together. Every day we strive to find new ways to improve diversity and inclusion within our community e.g. we have signed the European Diversity Charters in the countries where we operate to show our commitment and engage with others to continue learning and improving.

If this sounds like you, get in touch!

Next steps

Submit your application no later than 08/10/2026. Please note that we will begin interviews before the application deadline.

For more information, you’re welcome to contact Enrique Cordero at [e-mail].

If you have any questions about the recruitment process, you may contact our tech recruiter at [e-mail].

We enable dreams and aspirations for a greater good.

We build relationships. We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates.

We learn and develop. We take pride in being experts and thinking ahead. We use our expertise to meet our customers’ needs, from the simplest to the most complex. We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges.

We lead change. We are responsible and aware of the impact of our decisions, both for our customers and for our local and global communities. Mindful of our responsibility towards current and future generations, we have made sustainability an integrated part of our business strategy.

We are Nordea. We have a 200-year history of supporting and growing the Nordic economies and our values are deeply rooted in these open, progressive and collaborative societies. As one of the biggest employers in the Nordics, Poland and Estonia, you have excellent opportunities to evolve, develop and move forward with us.

A security clearance will be performed for the person selected for this position.