Vista previa de la oferta
Technical Project Manager II - Data
mid · Technology / Software Development
Embrace the challenge of steering complex tech projects, fostering growth and technical excellence in a dynamic environment.As a Technical Project Manager II - Data in Commercial & Investment Bank, you will play a pivotal role in leading complex technology projects and programs that drive business goals and enhance the firm's technological capabilities. You will leverage your broad knowledge of technical principles and practices to develop innovative solutions, while effectively managing resources, budgets, and cross-functional teams. Your analytical reasoning and adaptability skills will enable you to navigate through ambiguity and embrace change. By fostering productive relationships with stakeholders and clients, you will contribute to the firm's overall growth and success. Your excellent communication skills and ability to influence others will be crucial in driving mutually beneficial outcomes and managing risks in line with the firm's policies and practices.
Job responsibilities
- Analyze and breakdown complex business, technical, and operational objectives into manageable tasks and activities, applying critical thinking and problem-solving skills
- 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.
- Support the optimization of allocated resources, including people, budget, and technology, to effectively plan, schedule, and progress project and/or program initiatives
- Participate in stakeholder management, fostering productive working relationships with cross-functional teams and clients to drive mutually beneficial outcomes
- 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.
- Support Application Owners and Information Owners in adopting and evidencing data-related technology control procedures
- 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 tooling requirements, including proposing new features to increase the efficiency and effectiveness of controls; Collaborate effectively within a team environment, managing changing and competing priorities
- A. 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.
- Proven ability to utilize analytical reasoning and problem-solving techniques to break down objectives into manageable tasks
- Demonstrated technical proficiency and experience with relevant platforms and approved tools/technologies
- Experience in resource optimization and/or resource planning
- Prior experience managing diverse sets of stakeholders, establishing productive working relationships with cross-functional teams and clients, and managing project governance
- Applied experience in data governance, data management, or data controls within financial services; Applies enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and design (e.g., option evaluation, trade-offs, and documentation), validating outputs and handling data according to sensitivity and security requirements; Working knowledge of data risk management, data lineage, and data quality controls
- Strong communication and stakeholder engagement skills, with the ability to work with business and technology teams, including application owners, data architects, and information owners
- Ability to collaborate across diverse stakeholders and drive outcomes.
- Good understanding of agile methodologies such as CI/CD, Application Resiliency, and Security; Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Familiarity with data management and architecture frameworks such as DAMA, TOGAF
- Experience with data management tools, technologies, and governance model
- Understanding of controls and risk management concepts, with the ability to evaluate policies, procedures, and process flows
- Knowledge of financial regulations such as GDPR, BCBS, PRA, and other relevant standards
- Exposure to SDLC/change management processes; Experience in Financial Services, including markets, securities services, payments