Technical Project Manager II - Data/Controls

Job description

Embrace the challenge of steering complex tech projects, fostering growth and technical excellence in a dynamic environment.

As a Technical Project Manager II - Data/Controls in Commercial & Investment Bank (CIB) Chief Data Office (CDO), you will join a team incorporating leading practices and collaborating with data management professionals to ensure data quality and controls meetCIB Data Standardsacross applications and platforms. This role iscontrols and lineage-focused(control implementation support, control testing/monitoring, and evidencing). You will l

Job responsibilities

Provide subject matter expertise for data-related technology control procedures, including (but not limited to) data retention and destruction, technical data quality, data use, and data description and authority controls

Apply enterprise-authorized AI capabilities within the data lineage and controls landscapetominimize risk and support key business and regulatory control-driven outcomes, validating outputs and handling data according to sensitivity and security requirements

Support Application Owners and Information Owners in adopting andproducing evidence fordata-related technology control procedures

Perform and/or coordinatecontrol testing and ongoing monitoringactivities for data-related technology controls, including tracking results, exceptions, and remediation progress with stakeholders

Maintain a knowledge base for data-related technology control procedures, including best practices, standards, guidelines, and training materials

Contribute to continuous improvement by incorporating feedback, incidents, and regulatory/audit themes; Proactively identify and analyze hidden problems and patterns in data, using these insights to drive process improvements; Contribute to CIB data lineage and control tooling requirements, including proposing new features to increase the efficiency and effectiveness of controls

Partner with data owners, data architects, and technologists tovalidate lineage and control evidence completeness/accuracyneeded to support control objectives and traceability expectations

Uses enterprise-authorized AI capabilities within the work environment to accelerate project planning and risk synthesis (e.g., drafting plans, RAID, and status narratives), validating outputs and handling data according to sensitivity requirements.

Assist in risk management by making informed decisions in line with the firm's risk management practices and policies, ensuring project success and compliance

Promotes reuse-first, AI-assisted practices for project governance artifacts and reporting, ensuring human review and alignment to delivery standards.

Required qualifications, capabilities, and skills

2+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs

Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support technical program management workflows with strong validation habits and awareness of data sensitivity.

Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.

Working knowledge of data risk management, data lineage, and data quality controls

Understanding of controls testing/monitoring concepts (e.g., evidence collection, control execution validation, issue/exceptions tracking)

Strong communication and stakeholder engagement skills, with the ability to work with business and technology teams, including application owners, data owners, data architects, and information owners

Ability to collaborate across diverse stakeholders and drive outcomes

Good understanding of modern delivery and engineering practices and technical disciplines (e.g.,SDLC, CI/CD, application resiliency, and security fundamentals)

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Demonstrated technical proficiency and experience with relevant platforms and approved tools/technologies

Prior experience managing diverse sets of stakeholders, establishing productive working relationships with cross-functional teams and clients, and managing project governance

Preferred qualifications, capabilities, and skills

Familiarity with data management and architecture frameworks such as DAMA, TOGAF

Knowledge of financial regulations such as GDPR, BCBS, PRA, and other relevant standardsas applicable

Experience in Financial Services, including markets, securities services, payments and banking

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Who can apply

Review the original listing for work authorization, qualifications and employer requirements.