As a member of the U.S. Data Strategy team, you’ll work in a fast-paced environment where you will own delivery for Data ETL, analytics and consumption capabilities in alignment with a multi-year Product Roadmap. With guidance from Enterprise level standards and resources, you will work across functions – Product, Architecture, Data, Stakeholders - to understand business/design/Product objectives, then build solutions, whether internal or external. You will stay ahead of changing technologies and demonstrate experience with clean interfaces and data strategy. This position is dynamic and challenging. We are looking for someone to be a leader, collaborator, and executor. This role requires key hard and soft skills. You lead and inspire development team of 8-10 technology professionals including developers, testers, and analysts to solve complex data modeling, transformation, and consumption solutions. You oversee the development, testing and implementation of Data Solutions including ETL, Analytics, Data Quality and Lineage in a secure cloud environment. Additionally, you hold teams accountable for quality of code, and achieving committed work within a sprint, release, or roadmap, lead code reviews to ensure best practice coding processes. Mentoring developers on improvements. You also define and manage resource requirements and allocations, monitor and improve quality, and ensure 'best practice' development techniques. You create better ways of solving technical problems and not be afraid of challenging the status quo and work to plan releases and release schedules. As a part of your responsibility you, manage intake process for application project estimates, identify bottlenecks across SDLC, evaluate performance opportunities, and implement and manage Key Performance Indicators and successfully execute Agile Scrum practices including capacity estimation, story pointing, measuring/monitoring velocity, and leveraging ceremonies and practices accordingly and developing proofs of concept (POC) as needed to evaluate product and technical strategies. Excellent communication, presentation, and negotiation skills needed to facilitate brainstorming sessions, build consensus, and shepherd solutions through governance forums is required.
Work Arrangement: This is a hybrid role with an expectation to be in office at least 2 days per week in Chicago Downtown, rest of the days maybe remote.
How you’ll succeed
Critical Thinker – Create better ways of solving technical problems and not be afraid of challenging the status quo. Define and manage resource requirements and allocations, monitor and improve quality, and ensure 'best practice' development techniques.
Strong Leader – Lead and inspire onshore and offshore team with multiple skillsets. Encourage internal growth within individual roles.
Relationship building – Grow your network, deepen existing relationships, and collaborate with others to ensure the team is connected to the right people and opportunities. Promote collaboration among technology, product, and business teams to deliver high value enhancements to the Bank’s data ecosystem.
Who you are
You can demonstrate 5+ years of experience as a Development Lead on Data Applications with strong Data infrastructure and Data Architecture skills with a solid proficiency in the Data technology stack, including but not limited to PySpark, Scala, Databricks, ETL, Azure SQL and REST APIs, exposure to Integration and BI Tools such as Tableau, Cognos or Power BI and Expertise in data ingestions, data pipeline development, and optimization, reporting, and advanced analytics using Azure and Databricks (Pyspark/Scala) services. You also possess knowledge of approaches, tools, techniques and roles and responsibilities in providing technical or business guidance to business and technical partners. Significant automation experience for minimizing manual processes, solid understanding of cloud technologies and tools and expert communications with c-suite and key technical partners for development tollgates and governance forums is required. You are Able to document and tell a ‘story’ for a technical recommendation from framework to feature level, know outstanding DevOps practices for environment management and integrity, security, pipeline management, code integrity, compliance, release management and a solid execution of practices for Jira/Azure DevOps Taxonomies, Story Writing, Story Pointing, Velocity measurement
You act like an owner. You thrive when you're empowered to take initiative, go above and beyond, and deliver results.
You are a caring and accountable leader. You're passionate about developing and coaching to bring out the best in people. You have led diverse, high-performing teams. You have a proven track record of leading and scaling Data Engineering teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how Data Engineering can proactively improve companies.
You know that details matter. You notice things that others don't. Your critical thinking skills help to inform your decision-making.
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At CIBC, we offer a competitive total rewards package. This role has an expected salary range of $150,000.00 - $170,000.00 for the Chicago market based on experience, qualifications, and location of the position. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which may also include a discretionary bonus component. CIBC offers a full range of benefits and programs to meet our employee’s needs; including Medical, Dental, Vision, Health Savings Account, Life Insurance, Disability, and Other Insurance Plans, Paid Time Off (including Sick Leave, Parental Leave and Vacation), Holidays and 401(k), in addition to other special perks reserved for our team members.”
This position does not offer visa sponsorship.
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