Job description

Duration: 12 months Details: • Own and manage the Data Engineering roadmap across supported brands, translating enterprise priorities into clear delivery plans, releases, backlogs, and measurable outcomes. • Lead Agile delivery for cross-functional data platform and engineering teams, including standups, sprint planning, and backlog refinement. • Refine and maintain Jira backlogs to reflect upcoming initiatives, emergent work, engineering dependencies, and shifting business priorities. • Drive end-to-end program management for complex, multi-quarter data engineering initiatives, ensuring teams have clear priorities, aligned stakeholders, and actionable next steps. • Proactively identify risks, blockers, dependencies, access needs, tooling gaps, and cross-team handoffs so engineers can keep work moving. • Create visibility across initiatives through async updates, Jira hygiene, executive-level reporting, dashboards, program reviews, portfolio health tracking, and clear stakeholder communications. Qualifications • 5 years of experience of relationship-building strength across cross-functional teams; you understand what partners are working on, identify ways big and small that Data Engineering can help, and help stakeholders see where they would benefit from Data Engineering support. • Experience as a Scrum Master, Agile Lead, Technical Program Manager, or similar role in an enterprise, technology-driven environment. • Strong experience leading Agile delivery using Scrum, Kanban, Jira, Confluence, and hybrid delivery models appropriate for data infrastructure and platform work. • High Jira fluency, including backlog refinement, sprint planning, ticket hygiene, dependency tracking, and the ability to connect engineering work to upcoming initiatives or emergent business needs. • Strong async communication skills across Slack, Jira, and documentation channels; you are an over-communicator who creates clarity, writes in public, welcomes feedback, and follows up thoughtfully on questions and decisions. • Sound judgment about collaboration norms: you know when to put a meeting on the calendar, and you enjoy cancelling meetings when an issue can be resolved clearly and efficiently asynchronously. • Working knowledge of the software development life cycle and experience partnering with data engineering, data platform, or data operations teams across end-to-end data flow, data quality, and delivery execution. • Demonstrated ability to turn ambiguous data needs into actionable execution plans, balancing strategic portfolio oversight with hands-on program leadership. • A commitment to Trust, building reliable relationships, following through on commitments, and helping teams make informed decisions with confidence. • A collaborative approach grounded in Teamwork, helping Product, Engineering, Analytics, Ad Sales, Marketing, and business partners align around shared outcomes. • A communication style rooted in Transparency, creating visibility into priorities, risks, dependencies, initiative health, blockers, and tradeoffs. • The ability to operate with Agility, adapting delivery practices and priorities as business needs, technical complexity, and stakeholder requirements evolve. • An Entrepreneurial Spirit, with the initiative to improve processes, strengthen operating rhythms, create scalable frameworks, and drive continuous improvement across Data Engineering delivery. • Experience building broad communications plans across active enterprise initiatives and programs. • Experience supporting organizational change, platform adoption, or new operating models within technical teams. • Experience institutionalizing knowledge through structured documentation, governance, and repeatable delivery frameworks. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring. #LI-AS140

Requirements

Must-haves

Duration: 12 months
Own and manage the Data Engineering roadmap across supported brands, translating enterprise priorities into clear delivery plans, releases, backlogs, and measurable outcomes.
Lead Agile delivery for cross-functional data platform and engineering teams, including standups, sprint planning, and backlog refinement.
Refine and maintain Jira backlogs to reflect upcoming initiatives, emergent work, engineering dependencies, and shifting business priorities.
Drive end-to-end program management for complex, multi-quarter data engineering initiatives, ensuring teams have clear priorities, aligned stakeholders, and actionable next steps.
Proactively identify risks, blockers, dependencies, access needs, tooling gaps, and cross-team handoffs so engineers can keep work moving.
Create visibility across initiatives through async updates, Jira hygiene, executive-level reporting, dashboards, program reviews, portfolio health tracking, and clear stakeholder communications.
Experience as a Scrum Master, Agile Lead, Technical Program Manager, or similar role in an enterprise, technology-driven environment.
Strong experience leading Agile delivery using Scrum, Kanban, Jira, Confluence, and hybrid delivery models appropriate for data infrastructure and platform work.
High Jira fluency, including backlog refinement, sprint planning, ticket hygiene, dependency tracking, and the ability to connect engineering work to upcoming initiatives or emergent business needs.
Sound judgment about collaboration norms: you know when to put a meeting on the calendar, and you enjoy cancelling meetings when an issue can be resolved clearly and efficiently asynchronously.
Working knowledge of the software development life cycle and experience partnering with data engineering, data platform, or data operations teams across end-to-end data flow, data quality, and delivery execution.
Demonstrated ability to turn ambiguous data needs into actionable execution plans, balancing strategic portfolio oversight with hands-on program leadership.
A commitment to Trust, building reliable relationships, following through on commitments, and helping teams make informed decisions with confidence.
A collaborative approach grounded in Teamwork, helping Product, Engineering, Analytics, Ad Sales, Marketing, and business partners align around shared outcomes.
A communication style rooted in Transparency, creating visibility into priorities, risks, dependencies, initiative health, blockers, and tradeoffs.
The ability to operate with Agility, adapting delivery practices and priorities as business needs, technical complexity, and stakeholder requirements evolve.
An Entrepreneurial Spirit, with the initiative to improve processes, strengthen operating rhythms, create scalable frameworks, and drive continuous improvement across Data Engineering delivery.
Experience building broad communications plans across active enterprise initiatives and programs.
Experience supporting organizational change, platform adoption, or new operating models within technical teams.
Experience institutionalizing knowledge through structured documentation, governance, and repeatable delivery frameworks.
AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

Nice-to-haves

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