Job description

Application Deadline: 11/12/2026 Address: 320 S Canal Street Job Family Group: Technology The Senior Data Engineer - Reporting Automation & AI designs, develops, and maintains automated reporting solutions that improve the efficiency, accuracy, and scalability of risk-reporting processes. This role combines reporting automation, AI-enabled workflows, application development, and technical problem solving to modernize legacy processes and support future-state reporting platforms. The successful candidate will work closely with risk-reporting teams to translate manual, fragmented processes into reliable automated pipelines. This person will serve as the technical bridge between raw risk data and the accurate, timely reports stakeholders rely on. This is a net-new hybrid role based in Downtown Chicago. The successful candidate will work from the Chicago office 3 days per week, with Tuesday as a required in-office day. KEY RESPONSIBILITIES: • Design, develop, and maintain automated reporting solutions that improve the efficiency, accuracy, and scalability of risk-reporting processes. • Build and integrate AI-enabled workflows that streamline data preparation, validation, and report generation. • Develop and maintain Python and Shell applications and scripts that support reporting automation, monitor system health, and improve operational reliability. • Modernize manual and legacy reporting processes into scalable automated pipelines, including migration from SAS-based processes to Anaconda and Python-based solutions. • Design optimized data marts and star schemas for Power BI consumption. • Develop and tune SQL queries to deliver accurate, high-performing risk-reporting outputs. • Partner with data-reporting teams to ensure data structures and outputs support effective reporting and visualization. • Communicate technical ideas, tradeoffs, and solutions clearly to technical stakeholders. SKILLS AND QUALIFICATIONS : • 5+ years of hands-on professional work experience in reporting automation or data development, including advanced SQL with complex views, stored procedures, and performance tuning. • 3+ years of experience using both Python and Shell scripting to automate reporting workflows and build supporting applications. • 3+ years of experience integrating AI functionality into existing processes through APIs or comparable AI-enabled workflow tooling. • 2 year of experience with Power BI and Power Query. • 2 year of experience using Git for version control. • 4+years of experience with dimensional modeling and modern data-warehouse concepts. • Experience modernizing legacy reporting or data processes; SAS-to-Python migration experience is strongly preferred. • Ability to work independently, take initiative, and manage technical work with limited day-to-day direction. • Strong collaboration and communication skills, including the ability to work effectively with data-reporting teams and explain technical ideas concisely. WHAT THE SUCCESSFUL CANDIDATE WILL TACKLE During the first several months, the successful candidate will build familiarity with the existing code, risk data, and reporting processes. This person will help advance data and code migration away from SAS and toward Anaconda- and Python-based solutions while improving the reliability and automation of reporting workflows. Additional Information: • Provides production and end-user support and governance for the risk technical platform and system environment that supports risk data & control structures (e.g. process controls, user access controls, data integrity controls) to enable risk processes and operations. • Supports and oversees the planning, maintenance and change management for risk system strategies, process changes, system parameter changes, production schedules, and operational tasks. • Oversees the management of system parameter changes. • Works with stakeholders to resolve issues and provide solutions that ensure service delivery and effectiveness. • Acts as a trusted advisor to assigned business/group. • Influences and negotiates to achieve business objectives. • Recommends and implements solutions based on analysis of issues and implications for the business. • Assists in the development of strategic plans. • Identifies emerging issues and trends to inform decision-making. • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. • Helps determine business priorities and best sequence for execution of business/group strategy. • Conducts independent analysis and assessment to resolve strategic issues. • Supports the planning and execution of system management infrastructure planning and development activities for a designated portfolio. • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders including product enhancements; Initiative areas can include intake, requirements, design, development, testing, simulation, sign-offs, production and post-implementation activities. • Ensures alignment between stakeholders. • Represents the risk systems management function during internal/external regulatory audits and/or examinations. • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards. • Breaks down strategic problems, and analyses data and information to provide insights and recommendations. • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives. • Guides/assists in the identification and classification of issues; recommends action plans. • Provides input into the planning and implementation of ongoing operational programs in support of the risk systems management. • Leads/participates in the design, implementation and management of core business/group processes. • Monitors the risk system technical infrastructure, applications and/or business transactions across the environment. • Collaborates with Technology service providers and other stakeholders to investigate, perform root cause analysis and plan corrective actions; follows production environment support processes and guidelines. • Collaborates with internal and external stakeholders to deliver on business objectives. • Builds effective relationships with internal/external stakeholders. • Ensures alignment between stakeholders. • Monitors and tracks performance and addresses any issues. • Tracks metrics and milestones, makes recommendations for resolution and escalates as appropriate when issues arise. • Analyzes data and information to provide insights and recommendations. • Monitors and tracks performance; addresses any issues. • Supports the data reconciliation / provisioning processes between core risk systems. • Performs verification and monitoring activities for all changes implemented in the production environments according to guidelines and policies. • Supports the development and maintenance of system and process documentation / process controls / knowledge assets required for the operation. • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. • Provides specialized consulting, analytical and technical support. • Exercises judgment to identify, diagnose, and solve problems within given rules. • Works independently and regularly handles non-routine situations. • Broader work or accountabilities may be assigned as needed. • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations. Qualifications: • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. • In-depth knowledge of risk system management concepts and applications. • In-depth knowledge & experience with risk policy frameworks; quality control / testing frameworks, omics. • Deep knowledge and technical proficiency gained through extensive education and business experience. • Verbal & written communication skills - In-depth. • Collaboration & team skills - In-depth. • Analytical and problem solving skills - In-depth. • Influence skills - In-depth. • Data driven decision making - In-depth. Salary : $75,000.00 - $160,000.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: jobs.bmo.com About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at jobs.bmo.com BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Requirements

Must-haves

320 S Canal Street
This is a net-new hybrid role based in Downtown Chicago. The successful candidate will work from the Chicago office 3 days per week, with Tuesday as a required in-office day.
Design, develop, and maintain automated reporting solutions that improve the efficiency, accuracy, and scalability of risk-reporting processes.
Build and integrate AI-enabled workflows that streamline data preparation, validation, and report generation.
Develop and maintain Python and Shell applications and scripts that support reporting automation, monitor system health, and improve operational reliability.
Modernize manual and legacy reporting processes into scalable automated pipelines, including migration from SAS-based processes to Anaconda and Python-based solutions.
Design optimized data marts and star schemas for Power BI consumption.
Develop and tune SQL queries to deliver accurate, high-performing risk-reporting outputs.
Partner with data-reporting teams to ensure data structures and outputs support effective reporting and visualization.
Communicate technical ideas, tradeoffs, and solutions clearly to technical stakeholders.
5+ years of hands-on professional work experience in reporting automation or data development, including advanced SQL with complex views, stored procedures, and performance tuning.
3+ years of experience using both Python and Shell scripting to automate reporting workflows and build supporting applications.
3+ years of experience integrating AI functionality into existing processes through APIs or comparable AI-enabled workflow tooling.
2 year of experience with Power BI and Power Query.
2 year of experience using Git for version control.
4+years of experience with dimensional modeling and modern data-warehouse concepts.
Ability to work independently, take initiative, and manage technical work with limited day-to-day direction.
Strong collaboration and communication skills, including the ability to work effectively with data-reporting teams and explain technical ideas concisely.
During the first several months, the successful candidate will build familiarity with the existing code, risk data, and reporting processes.
This person will help advance data and code migration away from SAS and toward Anaconda- and Python-based solutions while improving the reliability and automation of reporting workflows.
Supports and oversees the planning, maintenance and change management for risk system strategies, process changes, system parameter changes, production schedules, and operational tasks.
Oversees the management of system parameter changes.
Works with stakeholders to resolve issues and provide solutions that ensure service delivery and effectiveness.

Nice-to-haves

Experience modernizing legacy reporting or data processes; SAS-to-Python migration experience is strongly preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonsql

Platform: phenom
Effort: medium

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