Technical Project Lead – Finance & Risk Data Transformation

SEB

. Lead complex technical initiatives in data migration, data warehousing, and platform modernization .

Posted 10/19/2026full-timeSolna • SwedenSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading complex technical initiatives, particularly in data migration, data warehousing, and platform modernization. Proficient in stakeholder management, risk assessment, and aligning technical solutions with business requirements in regulated environments.

Highest-signal resume keywords

Data MigrationData WarehousingCloud-Based Data PlatformsStakeholder ManagementAgile Delivery

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data IntegrationData EngineeringData ModellingData PipelinesTechnical Risk ManagementLegacy System ModernizationEnterprise Data Warehouse ConceptsData Vault 2.0Operational TransitionRegulatory Reporting

Soft Skills

Strong Communication SkillsFacilitation SkillsPlanning SkillsProblem-Solving SkillsStructured Approach

Tools & Technologies

Google Cloud PlatformBigQueryCloud ComposerAirflowDataformDBTJiraConfluence

Industry Keywords

BankingFinanceRegulated IndustryBCBS 239Data Governance

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformVault

About the role

Key responsibilities & impact

Lead complex technical initiatives in data migration, data warehousing, and platform modernization
Drive transition from legacy and mainframe-based environments to modern cloud-based data platforms
Coordinate deliveries for the CDS transformation, including FR360 and BIW
Establish project scope, objectives, milestones, delivery plans, and governance
Coordinate technical dependencies across platforms, systems, development teams, and business areas
Work with architects and engineers on migration strategies, target architectures, technical constraints, and implementation risks
Align business requirements, technical solutions, regulatory expectations, and delivery plans
Identify, assess, and manage technical and delivery risks, dependencies, and impediments
Facilitate technical workshops, planning sessions, architecture discussions, and decision-making forums
Prepare status reports, decision material, roadmaps, and management communication
Coordinate stakeholders across Finance, Risk, Group Technology, and source and consuming systems
Support data migrations, testing, cutover, operational readiness, and legacy-solution decommissioning
Promote structured ways of working, transparency, collaboration, and accountability
Ensure documentation, traceability, governance, and audit requirements throughout the transformation
Collaborate with data engineers, architects, technical specialists, product owners, business stakeholders, and teams across Finance, Risk, and Group Technology

Requirements

What you’ll need

Several years of experience leading complex technical projects or transformation initiatives
Strong background in data platforms, data warehousing, data integration, or data engineering
Experience with data migration and modernization of legacy or mainframe-based environments
Solid understanding of modern data architecture, data pipelines, data modelling, and cloud-based data platforms
Experience coordinating deliveries across several systems, teams, and organizational areas
Ability to translate technical challenges into concrete plans, priorities, risks, and decisions
Strong stakeholder management and communication skills
Experience identifying and managing complex technical dependencies and delivery risks
Structured and pragmatic approach
Strong facilitation, planning, and problem-solving skills
Experience using AI-powered tools to improve engineering, operations, or automation workflows
Professional proficiency in English
Experience from banking, finance, or another regulated industry is beneficial
Experience with Finance and Risk data, regulatory reporting, or large-scale enterprise data platforms is beneficial
Experience with Google Cloud Platform, including BigQuery, Cloud Composer/Airflow, and Dataform/DBT, is beneficial
Knowledge of enterprise data warehouse concepts, Data Vault 2.0, data lineage, historization, metadata, and data quality is beneficial
Experience with batch-based or mainframe data flows and migration to cloud-native solutions is beneficial
Experience with system decommissioning, cutover planning, and operational transition is beneficial
Knowledge of data-management regulatory and governance requirements, such as BCBS 239, is beneficial
Experience in agile delivery environments and coordinating several agile teams is beneficial
Familiarity with Jira and Confluence is beneficial
Final candidates undergo background checks, which may include identity, qualification, credit, company engagement, criminal record, and random drug testing checks

Benefits

Comp & perks

Agile and modern ways of working
A flat hierarchy and an open environment where ideas, opinions, and different points of view are welcomed
Extensive training and learning opportunities
The opportunity to work at an innovative company at the forefront of technology
The opportunity to contribute to a major transformation of SEB’s Finance and Risk data landscape
Hybrid working model, with the possibility of working remotely up to two days per week
Inclusive, value-driven culture
Collective agreement coverage
Background-check process described for final candidates