Information Technology Manager

VOLVO BUSINESS SERVICES AKTIEBOLAG

Company description: Founded in 1927 Job description: What you will doAs Senior Counsel, Data Privacy & Technology you will set strategic legal direction, strengthen governance, lead senior stakeholder engagement, support the SVP Digital & IT organization and function, enable responsible innovation and digital transformation, and promote compliant data use across VFS. You will support alignment with global data protection laws, EU data-driven regulatory frameworks (including the EU Data Act), AI and digital regulations, DORA, NIS2; represent VFS in relevant Volvo Group forums and governance bodies; and supervise one or more Data Privacy Managers Your will take responsibilities in the following areas:•    Provide strategic legal advice on global data protection laws, including GDPR and other applicable privacy regimes, in support of VFS products & services, operations, and markets•    Advise on data, digital, cybersecurity, and financial services-related technology regulation, including the EU Data Act, DORA, NIS2, data access and sharing rights, and related impacts for VFS•    Advise on AI regulation, including the EU AI Act, and translate requirements into practical guidance for AI development, procurement, deployment, monitoring, and governance•    Provide strategic and practical legal support for digital, IT, data, analytics, platform, connected services, and AI initiatives•    Draft, review, and negotiate cloud, SaaS, software, outsourcing, data-sharing, AI, analytics, platform, and technology services agreements, including data protection agreements and cross-border transfer mechanisms•    Lead and continuously mature VFS privacy, data, and AI governance frameworks•    Provide governance tools, legal oversight, and escalation support for privacy-by-design, AI-by-design, data lifecycle controls, risk classification, control requirements, DPIAs, transfer impact assessments, legitimate interest assessments, AI risk assessments, and related remediation plans •    Advise on and support risk management for data access, data sharing, connected products & services, AI outputs, cybersecurity, connected products, and other data-intensive solutions•    Lead, manage, and develop Data Privacy Managers, setting priorities, coaching performance, and building capability across the VFS privacy, data, and AI legal agenda•    Collaborate with IT, Digital & IT, Security, Risk, Compliance, Operations, and other colleagues to provide practical guidance, governance tools, and escalation support for effective controls and accountable governance•    Serve as the primary VFS legal interface with Volvo Group privacy, AI, data, and digital governance stakeholders, representing VFS in Group-wide policy, governance, framework, and implementation discussions•    Act as VFS Data Protection Representative (or designate a qualified Privacy Manager or equivalent as delegate for operational privacy activities, while retaining overall accountability for compliance)•    Translate Volvo Group requirements into fit-for-purpose VFS guidance, governance tools, and planning support that enables local implementation•    Monitor and assess legal developments in privacy, AI, cybersecurity, data, digital regulation, DORA, NIS2, and financial services-related technology regulation, and translate requirements into actionable policies, standards, guidance, templates, training, and governance routines•    Support audits, regulatory interactions, customer and partner due diligence, and management reporting on privacy, data, AI, cybersecurity, and technology regulatory matters•    Enable responsible AI & data-driven services, digital transformation, and data commercialization opportunities by providing legal direction that supports compliant and scalable innovation. Your future teamYou will report directly to the SVP, Legal & Compliance of VFS and will provide front-line support for the SVP Digital & IT function and this position is located in Gothenburg, Sweden.Who are you?Qualifications likely required to be successful in this role include:•    Law degree and qualification to practice law in at least one relevant jurisdiction•    8–12+ years of relevant legal experience in privacy, technology, AI, data, cybersecurity, digital regulation, or financial services-related technology regulation, with significant experience advising on GDPR and global privacy laws•    Knowledge of the EU Data Act, EU AI Act, DORA, NIS2, data governance, cybersecurity, cross-border data transfers, digital regulation, and emerging technology regulatory frameworks•    Proven experience in a global matrix organization, regulated business, or comparable environment, preferably within connected products or other data-intensive sectors•    Strong collaboration and stakeholder management skills, including the ability to support and enable local market teams•    Experience working in a multi-jurisdictional environment•    Ability to translate complex regulatory requirements into practical global guidance, frameworks, and governance tools that support consistent local market implementation by accountable teams•    Ability to influence outcomes in a matrix organization without direct authority or ownership of local execution We look forward to receiving your application, no later than July 31.If you have any questions or would like further information, please feel free to contact:Eleisha Graves, SHRM-CPPeople & Culture Business Partner eleisha.graves@volvo.com As part of the recruitment process, a background check as well as alcohol and drug testing may be conducted. You will be informed if applicable.

Professional Galaxy AB

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Technical Project Manager for one of our clients. About the assignment: We are seeking an experienced Technical Project Manager to lead a complex migration of leasing products from an existing platform to a new technology platform. The role requires a strong combination of project management, business analysis, stakeholder management, and technical understanding to ensure that business requirements are accurately translated into technical solutions and successfully delivered. The successful candidate will act as the primary link between business stakeholders and external development teams, ensuring that requirements are clearly defined, prioritized, implemented, tested, and delivered according to agreed timelines and quality standards. Key Responsibilities • Lead the end-to-end delivery of a complex leasing platform migration project. • Define, manage, and execute the project plan, including scope, timeline, budget, risks, dependencies, and deliverables. • Facilitate workshops and maintain close collaboration with internal business stakeholders to capture, analyze, validate, and document business requirements. • Translate business needs into clear functional and non-functional requirements suitable for technical implementation. • Act as the primary interface between business users and external software development teams. • Ensure effective communication across technical and non-technical stakeholders throughout the project lifecycle. • Coordinate solution design discussions and support architectural decision-making together with technical experts. • Manage project governance, status reporting, steering committee meetings, and decision logs. • Identify project risks, mitigation strategies, and escalation paths. • Coordinate User Acceptance Testing (UAT), defect resolution, and production readiness activities. • Support data migration planning, system integration activities, and cutover planning. • Ensure successful project delivery while maintaining high standards of quality and stakeholder satisfaction. Required Qualifications • Bachelor's degree in Information Technology, Computer Science, Business Administration, Engineering, or a related field. • 7+ years of experience managing complex IT implementation or migration projects. • Demonstrated experience leading platform migration or digital transformation initiatives. • Experience working within leasing, financial services, banking, or similar highly regulated industries is highly desirable. • Strong understanding of software development lifecycles (Agile, Scrum, Waterfall, or hybrid approaches). • Experience working with external software vendors and distributed development teams. • Proven ability to manage multiple stakeholders with differing priorities. • Excellent analytical, planning, and problem-solving skills. Technical Understanding The ideal candidate is not expected to be a software developer but should possess sufficient technical knowledge to: • Understand system integrations and API-based architectures. • Participate in technical discussions and challenge proposed solutions where appropriate. • Understand data migration principles and common migration risks. • Interpret technical documentation and solution designs. • Bridge communication between business and technical teams. Key Competencies • Excellent stakeholder management • Strong communication and facilitation skills • Requirements elicitation and documentation • Business process analysis • Risk and dependency management • Decision-making under uncertainty • Negotiation and conflict resolution • Structured and detail-oriented approach • Ability to work in fast-paced, cross-functional environments • Strong leadership and influencing skills without direct authority • Jira, Confluence, Azure DevOps, or similar project management tools Preferred Experience • Leasing products and leasing operations • Financial systems migrations • Product migration and portfolio transformation • Data migration projects • Vendor management • Regulatory or compliance-driven projects Success Criterias Success in this role will be measured by the ability to: • Deliver the migration within agreed scope, timeline, and quality objectives. • Ensure business requirements are fully understood, documented, and successfully implemented. • Maintain strong collaboration between business stakeholders and external development teams. • Minimize project risks and production issues during migration. • Achieve a smooth transition to the new platform with minimal business disruption. • Build stakeholder confidence through transparent communication, proactive issue management, and effective project governance. Additional information As it is the holiday season, the selection process may take longer than usual. Assignment start: ASAP Remote work: No Assignment duration: 1 year Geographical region: Sweden\Stockholms län, \Stockholm (STOCKHOLM) Reply no later than: 2026-08-03 Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Engelhart

ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities.  Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE As a Technology Manager in our Tech Data, AI & UX team, you will lead a high-impact engineering group responsible for building, scaling, and operationalising data and AI capabilities across Engelhart’s trading, quantitative, risk and operational functions. This is a hands-on leadership role at the intersection of data engineering, AI platform delivery, front-office technology, and commodities trading The role reports to the Global Head of Tech - AI, Data & UX and will play a central part in implementing Engelhart’s AI Business Plan. That plan positions AI as a federated capability enabled by a central Tech AI team with responsibilities across platform, governance and delivery, working closely with trading desks, Quant & Systematic teams, MOBO, Risk, Compliance, People, senior management, external AI providers, cloud providers, data providers, BTG Pactual, Gridfuse, Metdesk and other partners.  This role will work directly with Traders, Quants, FO Analysts, Risk, Compliance and Technology stakeholders. Experience with systematic trading, quantitative research workflows, or trading analytics platforms is highly desirable. The successful candidate will help translate front-office needs into robust technical capabilities, ensuring that AI and data solutions are useful, trusted, governed and adopted in real workflows. The broader mandate is to help Engelhart move from experimentation to production-grade AI capability: improving productivity, making company knowledge searchable, enabling AI-assisted workflows, and embedding AI into analytics through initiatives such as Risk Copilot, Treasury Copilot, Power Forecast Copilot, Trader Copilot, and Quant Copilot.   ABOUT YOUR TEAM You will manage a team consisting of four Senior Data Engineers and two AI & Agentic Platform Interns, guiding delivery across both the core data engineering estate and the emerging agentic AI platform. The Senior Data Engineers are focused on building and maintaining data pipelines, integrating and cleansing data, supporting analytical and operational use cases, and enabling predictive analytics, machine learning, data mining, and systematic trading initiatives. The AI & Agentic Platform Interns support the design and implementation of Engelhart’s central Agentic AI platform, including orchestration layers, agent runtimes, AWS Lambda integrations, MCP servers, agent skills, knowledge bases, vector databases, retrieval pipelines, and AI productivity tooling.   BREAKDOWN OF RESPONSIBILITIES This will be a full-time role based in our London office and owning the following responsibilities: * Lead and develop the AI & Data engineering team, directly managing four Senior Data Engineers and two AI & Agentic Platform Interns, setting clear priorities, coaching technical growth, reviewing delivery quality, and ensuring the team operates with high ownership, collaboration, and continuous improvement. * Drive implementation of the Agentic AI platform, supporting orchestration layers, agent runtimes, AWS-hosted services, Lambda-based tooling, MCP servers, knowledge bases, vector databases, retrieval pipelines, agent skills and secure deployment patterns within Engelhart’s internal network. * Support implementation of the AI Business Plan, helping deliver the central Tech AI team’s mandate across platform, governance and delivery, and contributing to the strategic themes of productivity, knowledge and data discovery, AI-assisted workflows, and AI-assisted analytics. * Support delivery of AI use cases such as Trader Copilot, Quant Copilot, Risk Copilot, Treasury Copilot, Power Forecast Copilot, reconciliation automation, AI Explorer, text-to-SQL, Confluence/wiki agents, contract/vendor agents and self-service AI workflows where relevant to the agreed roadmap. * Own delivery of scalable data engineering capabilities across Engelhart’s data landscape, including ingestion of structured and unstructured data, data cleansing, enrichment, transformation, storage, distribution, visualisation and operational reuse for Data Scientists, Traders, Quant developers and business stakeholders. * Partner with Quant and Systematic teams to enable data, AI and engineering capabilities that support research workflows, model-adjacent analytics, signal review, back testing support, code review, documentation and systematic trading productivity, while respecting ownership boundaries with Quant and trading teams. * Translate front-office requirements into practical technology solutions, working closely with Traders, Quants, FO Analysts, Risk and other business teams to identify high-value opportunities. * Champion production-grade engineering standards, including robust architecture, secure data access, maintainable code, CI/CD, infrastructure-as-code, observability, documentation, testing and clear operational ownership. * Ensure AI solutions are governed appropriately, contributing to standards around evaluation, provenance, human-in-the-loop design, auditability, monitoring, access control and safe deployment in collaboration with Compliance, Risk, AI Security and senior Technology stakeholders. * Measure and communicate value delivered, helping connect technical delivery to adoption, cost savings, front-office efficiency and business impact. The AI Business Plan identifies annualised value delivered and value-weighted adoption as key success measures.   ABOUT YOU This individual will be an experienced engineering manager from a commodities trading environment. Someone who is comfortable leading a team of senior engineers whilst remaining close enough to the architecture and code to challenge design decisions, unblock delivery and set a high technical bar. The successful individual will understand that AI adoption is not just about models or tools; it depends on data quality, platform reliability, governance, user trust and day-to-day workflow fit. We believe the following background, experiences and skills are essential for application: * Strong domain understanding of commodities trading is essential. * Academic background or equivalent professional experience in Computer Science, Engineering, Data Science, Information Systems, Quantitative Finance, Mathematics or a related technical field.  * Significant experience leading data engineering, AI engineering, platform engineering or technology delivery teams in a demanding business environment.  * Proven experience managing, coaching and developing engineers; including senior individual contributors and early-career technical talent.  * Strong hands-on understanding of modern data engineering practices, including data ingestion, transformation, cleansing, storage, distribution, data quality, documentation and operational support.  * Advanced proficiency in Python and the wider Python data ecosystem, including experience with Pandas or comparable libraries for data crawling, parsing, analysis and engineering workflows.  * Experience with analytical, time-series, or large-scale data platforms. ClickHouse is preferred and Redshift is also relevant, based on the current technical landscape. * Strong experience with cloud-native engineering, preferably AWS, including practical understanding of services such as S3, Lambda, Athena, EMR, Fargate, Kinesis, EC2, API Gateway, CloudWatch, and related architecture and security patterns.  * Hands-on experience with Docker, Git, CI/CD, infrastructure-as-code, and modern software delivery practices.  * Practical understanding of AI, LLM, or Generative AI application architecture, including RAG, knowledge bases, vector databases, prompt engineering, evaluation, orchestration, agent workflows, or AI-assisted developer tooling.  * Experience engaging directly with Traders, Quant developers, Data Scientists, analysts or front-office stakeholders to gather requirements, challenge assumptions and deliver useful technical solutions.  * Strong understanding of commodities trading, particularly Oil, Power, and Gas; including the role of market data, analytics, risk, weather, fundamentals, trading workflows and front-office decision support.  * Ability to translate complex technical concepts for both technical and non-technical audiences, influencing decisions and building trust with stakeholders across levels.  * Strong organisational skills and a strong sense of ownership, accountability, and follow-through. Preferably with a bias toward delivering production-grade solutions rather than prototypes that do not land.  In addition, the following experiences and skills are not required, but highly desirable for this role: * Commodities coverage: Oil, Power, and Gas. * Experience in systematic trading, quantitative research platforms, trading analytics, signal generation, back testing workflows, or model-adjacent engineering.  * Practical exposure to agentic AI frameworks and implementation patterns, such as LangChain, n8n, MCP servers, AWS Bedrock, Postgres with pgvector, Bedrock Knowledge Bases, Pinecone, Chroma, or comparable tools.  * Experience designing or operating secure internal AI platforms, including private model deployment, VPC-based architectures, data-access controls, auditability, monitoring, and vendor due diligence.  * Familiarity with AI governance, evaluation suites, provenance, human-in-the-loop workflows, risk classification, model monitoring, audit trails, and compliance considerations such as the EU AI Act.  * Experience with REST APIs, SSIS, Entity Framework, internal API design, Python packages, and integration patterns across enterprise systems.  * Experience with big data technologies such as Apache Spark, Databricks, Parquet, or Hive.  * Experience with data visualisation libraries or platforms, including Plotly or equivalent tooling.  * Experience working with GitHub Copilot-style engineering workflows, internal AI chat, summarization pipelines, or AI productivity tooling.  * Experience working in a federated technology model where a central platform team enables business-aligned teams to own and improve their own workflows.  * Experience engaging with external data vendors, cloud providers, consulting partners, or group-level technology partners.    WHAT WE OFFER * Competitive compensation and participation in Engelhart’s discretionary bonus plan.  * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company.   * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.