This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Wells Fargo is seeking a Technology Director – Risk & Finance Data. The Technology Director – Risk & Finance Data will lead the transformation and delivery of Risk & Finance data applications for our bank. This senior leadership position is responsible for shaping and executing the technology strategy supporting our migration to modern technology stack across these functions, building and leading enterprise‑scale data engineering platforms that support critical regulatory, risk, and business data for the organization. This role is central to ensuring that high‑quality, governed, and auditable data is engineered, managed, and made available across the enterprise—particularly data required for regulatory submissions and supervisory expectations. This role will be within Enterprise Functions Technology (EFT) and will drive digital transformation, oversee platform modernization, drive data strategies, ensure compliance, manage technology risk and enable robust business partnerships. The role will lead the design and execution of cloud‑based big data solutions leveraging platforms such as Databricks, Snowflake, and modern cloud data stacks, while ensuring strong data controls, lineage, resiliency, and transparency.
Job Responsibility:
Manage a team of engineering managers and engineering leads
Focus on delivering commitments aligned to enterprise strategic priorities
Build support for strategies with business and technology leaders
Guide development of actionable roadmaps and plans
Identify opportunities and strategies for continuous improvement of software engineering practices
Provide oversight to software craftsmanship, security, availability, resilience, and scalability of solutions developed by the teams or third party providers
Identify financial management and strategic resourcing
Set risk management guidelines and partner with stakeholders to implement key risk initiatives
Develop strategies for hiring engineering talent
Lead implementation of projects and encourage engineering innovation
Collaborate and influence all levels of professionals including more experienced managers
Lead team to achieve objectives
Interface with external agencies, regulatory bodies or industry forums
Manage allocation of people and financial resources for Technology Strategic Leadership
Develop and guide a culture of talent development to meet business objectives and strategy
Develop and execute the technology roadmap for the Risk and Finance Data functions aligned with business goals
Champion digital transformation initiatives, including automation, cloud adoption, and data strategies
Lead, mentor, and develop a high-performance team of engineers
Foster a collaborative partnership with Finance, Risk, Compliance, and Operations business units
Cultivate a culture of innovation, continuous improvement, and accountability
Drive large-scale system migrations, upgrades, and integrations
Manage budgets, investments, and resources for Risk & Finance Data Technology
Lead the end‑to‑end engineering of enterprise data platforms, supporting large‑scale structured and unstructured datasets
Architect and deliver cloud‑native big data solutions using modern data engineering frameworks
Drive engineering best practices for data ingestion, transformation, storage, orchestration, and performance optimization at scale
Own the technology roadmap for enterprise data engineering platforms in alignment with global architecture standards
Embed data governance, metadata management, lineage, and data quality frameworks into engineering solutions
Ensure alignment with enterprise data standards, including reference data, master data, and critical data elements
Drive automation for data quality checks, issue management, and remediation workflows
Partner with Chief Data Office / Data Governance teams to operationalize governance within engineering platforms
Build scalable data solutions supporting risk analytics, regulatory reporting, financial reporting, and advanced analytics
Enable near‑real‑time and batch data processing use cases across the enterprise
Support downstream consumers including risk models, analytics teams, reporting platforms, and AI/ML workloads
Ensure data platforms are resilient, secure, and highly available
Lead and develop large, multi‑layered data engineering teams across locations
Build a strong leadership bench, succession plans, and a culture of engineering excellence and accountability
Act as a trusted technology advisor to senior business, risk, and technology leaders
Influence global stakeholders and contribute to enterprise‑wide data strategy and transformation initiatives
Requirements:
8+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of management or leadership experience
Deep hands‑on and leadership experience with big data and cloud data platforms, including: Databricks
Snowflake
Cloud ecosystems (AWS / Azure / GCP)
Strong experience in engineering large‑scale data pipelines, data lakes, and data warehouses
Proven experience managing critical, regulator‑facing data and supporting regulatory reporting and audits
Solid understanding of data governance, data quality, lineage, and controls in an enterprise environment
Demonstrated ability to lead large engineering teams and manage complex stakeholder environments
Strong communication skills with the ability to engage confidently with senior leaders, regulators, and control partners
Nice to have:
Proven track record in modernizing legacy systems and delivering complex transformation programs
Strong understanding of modern cloud architectures, APIs, Agile/DevOps, Generative AI, Data Engineering, and data analytics
Exposure to financial risk data domains (e.g., credit risk, market risk, liquidity risk, stress testing)
Experience enabling analytics, AI/ML, and advanced data consumption on enterprise platforms
Background in global operating models with distributed engineering teams
Strong experience collaborating with product and business stakeholders to deliver valuable and user-centric solutions
Exceptional leadership, communication, and stakeholder management skills
Strategic thinker with strong execution focus and analytical skills
Experience managing IT budgets, sourcing, and vendor contracts
Financial industry experience or familiarity with regulatory and compliance requirements