Portfolio Delivery Manager
U.S. BankAbout the role
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
The Portfolio Delivery Manager is responsible for managing data product deliveries across multiple initiatives—ensuring projects progress smoothly, meet timelines, stay within budget and scope, and adhere to governance and compliance standards. The role partners with product owners, engineering teams, business stakeholders and cross functional teams to plan & track activities, resolve issues, and deliver projects on time/budget.
This role needs to have deep understanding of technical components and platform capabilities (such as AWS, Snowflake, Databricks) to manage interdependencies efficiently across systems and teams. This technical awareness enables proactive risk management, realistic planning, and successful end-to-end delivery of complex data products.
Key Responsibilities
Day-to-Day Delivery Management
Manage daily operations for data product delivery, ensuring tasks are executed on time and within scope.
Plan and coordinate projects with internal development teams and cross-functional stakeholders.
Track status and reporting, maintain delivery dashboards, and provide regular updates to leadership.
Manage issues, risks, and dependencies across multiple projects, ensuring timely resolution and mitigation.
Manage project timelines, cost, and scope to ensure successful delivery within agreed parameters.
Manage the intake lifecycle for new project engagements; ensure proper evaluation, onboarding, and resourcing.
Agile Collaboration
Collaborate with one or multiple agilists who manage different scrum teams to ensure alignment and smooth delivery.
May act as an agilist for particular scrum team, facilitating ceremonies and supporting agile best practices.
Stakeholder Coordination & PMO Engagement
Serve as the central point of contact for delivery-related communication.
Facilitate collaboration between product managers, engineering teams, governance, and business stakeholders.
Work closely with the PMO to provide senior leadership status reporting and portfolio-level updates.
Budget & Financial Management
Manage project budgets and track financials, ensuring cost control and alignment with approved funding.
Provide regular financial reporting and variance analysis to leadership.
Governance & Compliance
Enforce delivery frameworks, governance processes, and access management standards across all data product projects.
Monitor adherence to data governance, security, and compliance policies; support audit needs.
Resource & Capacity Planning
Coordinate resource allocation across projects to optimize delivery efficiency.
Identify skill gaps; work with leadership to address resourcing needs.
Technology & Interdependency Management
Understand technical components and platform capabilities (AWS, Snowflake, Databricks) to manage interdependencies across systems and teams.
Collaborate with engineering leads to validate technical dependencies and timelines.
Intake & Process Improvement
Identify progress gaps and implement process improvements to enhance delivery efficiency and predictability.
Manage prioritization with senior leaders across the portfolio to align capacity with strategic outcomes.
Leadership & Strategy
Establish portfolio-level OKRs and a value tracking framework (e.g., adoption, efficiency, revenue enablement, risk reduction).
Evangelize product thinking and promote standardization of data product operating models (intake, discovery, build, release, support).
Create and maintain delivery playbooks (governance checkpoints, access patterns, release management, post-release adoption).
Influence architecture and pla
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