SUMMARY

The Enterprise Data Platform team is seeking an experienced technical manager to lead our data engineering team and data architects. This leadership role is critical to driving data delivery and advancing the team’s capabilities on a modern data stack while migrating off a traditional on-prem environment. The ideal candidate would have experience: leading data development teams on a modern cloud data stack, implementing Cloud Data Ops (DevSecOps) and demonstrated delivery success on traditional tool stacks. This job requires a balance of day-to-day delivery and strategic vision for advancing data platform solutions for the entire enterprise. This role will require interactions with multiple Data Solutions teams, Integration teams and Enterprise Architecture teams to enable our business partners to provide world class customer experiences.

QUALIFICATIONS AND SKILLS

• Bachelor’s or Master’s degree in technology with emphasis in computer information systems or equivalent experience required. If equivalent experience, high school diploma required.
• Minimum three years of experience managing technology platforms and software engineers.
• Minimum 3+ years in a leadership role; demonstrated experience leading people and/or teams; directly or indirectly.
• Generally, 5 or more years of hands-on experience developing data platforms, data tools, and/or depth of data management technologies.
• Strong team building, change management and people management skills in a matrixed and geographically dispersed organization.
• Experience with traditional and modern data warehousing, data lake, analytics, and reporting technologies such as AWS/Azure/Cloud, Snowflake, Informatica, BOBJ, Data Vault 2.0, CI/CD, BI Tools.
• Knowledge of agile engineering practices, development methodologies (Scrum, Kanban) and tools (Jira, Slack, VersionOne).
• Knowledge of Data Ops practices, release automation and automated QA Solutioning
• Requires excellent analytical ability, consultative, communication, change management, presentation and management skills, strong judgment, and ability to liaise with cross functional stakeholders and optimize teams effectively.
• A “bar-raiser” mentality, driven to motivate and lead teams in a high performing culture talent environment and able to provide direct, candid feedback to employee.
• Experience with Data Vault data modeling is a bonus.

• Develop and maintain a strong collaborative, trusting relationship with team and business partners, including Product Owners (PO), Data Solution delivery teams and Enterprise Architects
• Lead teams through servant leadership by providing coaching and mentoring to empower and inspire Data Engineers, Analysts, Architects, and Scrum Masters.
• Extend and scale agile practice by partnering with coaches, leaders, and team members; review and establish metrics, empower and improve team dynamics and delivery.
• Ensure team understands the vision and objectives of the organization and how their backlog and priorities support achieving those objectives.
• Build architecture and working model for teams of Data Modelers, Data Architects and Data Engineers in a federated development structure.
• Contribute to overall technical solutions into the Cloud Data stack inclusive of development automation, API Integrations, and external data shares.
• Partner with peer leaders to lead and support initiatives in both Agile and Waterfall software development life cycle processes.
• Own and drive partner delivery excellence for staff augment/contractor vendors; responsible and accountable for maintaining an accurate, current view of partner performance, and managing capacity planning / estimation for contractor needs.
• Manage Partner relationship with critical software vendors.
• Develop, maintain, and grow industry and technology expertise related to agency, strategic partnerships, and finance.
• Participates in the development of business and/or IT vision, strategies, critical success factors and operating plans for application, unit, or portfolio.
• Lead teams through the migration, decommission and rebuild of data driven solutions taking advantage of modern technical capabilities from legacy solutions.
• Help build and mature DataOps practices in the Modern Data Stack:
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• Infrastructure as code (Vagrant, Docker, Ansible, Chef, Terraform, or similar)

• Continuous integration (Jenkins, Bamboo, Hudson, or similar)
• Integration of Security testing tools into pipeline
• Defect tracking (Jira, Bugzilla, ServiceNow , or similar)
• Source code management (GitLab, GitHub, BitBucket, or similar)
• QA Testing tools (nUnit, jUnit, Selenium, Cucumber, or similar)