Senior Manager Application Development [T500-29324]

About CIBC:CIBC is a leading North American bank, with a history of more than 150 years of living our purpose - to help make your ambition a reality. Client relationships are at the centre of our strategy, and our growth is enabled by a highly engaged and connected global team. From digital banking to community impact, we’re proud to drive progress for our clients and our communities. Recognized for our culture, award-winning innovation and community investment, CIBC continues to evolve by putting people and progress at the centre of everything we do.About CIBC India:CIBC India is a technology and operations hub in Hyderabad, where you’ll be part of our highly engaged and global team, and play a central role in supporting our growth. Whether you’re driving innovation in digital banking or streamlining client onboarding, you’ll be part of a culture recognized for excellence and investment in people. At CIBC India, people and progress are at the centre of what we do: you’ll develop skills, collaborate with industry leaders, and see your ideas realized in a culture that values progress and belonging. We provide cutting-edge resources, ongoing learning, and a supportive environment where people come first. If you’re ready to create meaningful change and build your future, CIBC India is where your ambition meets opportunity.What CIBC India Offers:At CIBC India, your goals are a priority. We start with your strengths and ambitions and strive to create opportunities to tap into your potential. We aspire to give you a career that goes well beyond your compensation.We work to recognize you in meaningful, personalized ways including competitive fixed pay, performance-based incentive programs, a family-first benefits program, employer contributions for your retirement, attractive time off and leave offerings, wellbeing support, and MomentMakers, our social, points-based recognition programOur spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients worldwideWe cultivate a culture where you can express your ambition through initiatives like Purpose Day, a paid day off dedicated for you to use to invest in your growth and development.What You’ll Be Doing (position summary):The Data Analyst Lead is responsible for designing, building, and maintaining scalable data pipelines and data warehouse solutions on the Azure cloud platform, while leading a team of data professionals. This role combines strong technical expertise with an understanding of banking data landscapes and thrives in a hybrid project execution model. The incumbent will develop robust data solutions, ensure data accuracy, support cross-functional collaboration, and drive team performance to advance business outcomes.At CIBC India we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (including on-site and remote work) will be discussed at the time of your interview.How You’ll Succeed (responsibilities):Design, develop, and maintain end-to-end data pipelines using Azure Data Factory, Databricks, PySpark, and Python.Build and optimize data models within enterprise data warehousing environments (star schema, snowflake schema, slowly changing dimensions, etc.).Write complex SQL queries for data transformation, validation, and reconciliation across large datasets.Develop and deploy solutions on Microsoft Azure (Data Factory, Data Lake Storage, Databricks SQL, Synapse Analytics).Collaborate with business analysts, QA, and downstream reporting teams to ensure data accuracy and availability.Participate in the full SDLC — requirements gathering, design, development, testing, deployment, and production support.Coordinate with cross-functional teams including risk, compliance, operations, and front-office stakeholders.Identify opportunities for automation and leverage AI/ML-based tooling to improve data engineering workflows.Monitor and troubleshoot scheduled jobs, ensuring SLA adherence for batch and real-time data processing.Maintain documentation for data flows, lineage, and transformation logic.Set appropriate context when assigning work to ensure that individuals’ roles support the achievement of the business unit’s priorities and CIBC’s overall goals.Build team and individual capabilities by providing development opportunities such as job shadowing, special projects, and training.Manage performance by providing fair and accurate formal and informal feedback, identifying and removing obstacles to performance and by explaining how performance expectations align with business priorities.Create a positive work environment and being an effective role model by championing CIBC’s mission, vision and values.Ensure compliance with policies, standards, guidelines and controls by applying the policies and controls fairly and consistently so employees understand what to expect.Hire the right people in the right jobs to align individual capabilities with job requirements and business unit goals.CROSS-FUNCTIONAL RELATIONSHIPS:Collaborates with business analysts, QA, and reporting teams to ensure data accuracy and availability.Coordinates with risk, compliance, operations, and front-office stakeholders for requirements gathering and solution delivery.Works closely with technology partners to optimize data engineering workflows and support enterprise objectives.Leads and mentors a team of data engineers and analysts, fostering collaboration and knowledge sharing across teams.COMPLIANCE REQUIREMENTS/RESPONSIBILITIES:As an employee of CIBC, the incumbent must comply with all applicable CIBC and Line of Business policies, standards, guidelines and controls.As a manager of people, this job must ensure all employees within the business unit comply with all applicable CIBC and Line of Business policies, standards, guidelines and controls.AUTHORITIES/DECISION RIGHTS:As a key contributor to the business unit, this job has the authority to recommend changes to business processes in order to enhance operational efficiency and effectiveness.As a manager of people, this job has the authority to assign tasks to employees within their span of control, select individuals for hire, assess individual performance, make employee compensation decisions and take disciplinary measures up to and including termination.JOB DIMENSIONS:Responsible for designing, building, and maintaining scalable data solutions for banking operations.Supports mission-critical data pipelines and warehouse solutions on Azure cloud platform.Ensures data accuracy, availability, and integrity across multiple business domains.Contributes to automation and process improvement initiatives within the team.Leads a team of data engineers and analysts, managing their performance and development.Covers multiple geographies and functional areas as required by business needs.Experience: 12-15 years of experienceWho You Are (skills/qualifications):Degree/diploma in Computer Science, Engineering, MIS, or related field or relevant certifications and/or completion of a relevant bootcamp.Must Have Skills:12–15 years of experience in data engineering or a related role, including proven experience managing and developing teams within a technology environment.Strong hands-on experience with Azure Cloud services (Data Factory, ADLS Gen2, Azure Databricks, Synapse)Proficiency in PySpark and Python for large-scale data processingAdvanced SQL skills (stored procedures, performance tuning, CTEs, window functions)Solid understanding of data warehousing concepts — dimensional modeling, ETL/ELT patterns, data quality frameworksExperience working in the banking/financial services domain (trade data, regulatory reporting, risk, or similar)Familiarity with SDLC methodologies (Agile/Scrum) and DevOps practices (CI/CD for data pipelines)Ability to work effectively in a hybrid project execution model (onsite + remote coordination)Strong communication and coordination skills for working with multiple teams and stakeholdersGood to Have:Experience with job scheduling tools such as Autosys, or similar enterprise schedulersExposure to reporting/BI tools like Power BI or Cognos for building or supporting dashboards and reportsAwareness of AI/Generative AI tools and their application in data engineering (e.g., Copilot, automated testing, intelligent monitoring)Knowledge of data governance, metadata management, and data catalogingExperience with version control (Git) , Git Actions, Artifactory and Vaults.Relevant Azure certifications (DP-203, AZ-900, or similar)