Senior Manager - Intelligent Process Automation and Reengineering

BMO•Chicago, IL

1d•$100,000 - $220,000

About The Position

The Senior Manager, Intelligent Process Automation and Reengineering leads initiatives to transform how work is performed across Finance and other business functions. The role challenges existing operating models, identifies opportunities to simplify and automate complex processes, and delivers solutions that improve efficiency, scalability, customer experience, and business value. It applies artificial intelligence, machine learning, data and analytics, robotic process automation, and other intelligent automation technologies to modernize manual, legacy, and spreadsheet-dependent processes. The position establishes and evolves the strategy, governance, standards, and delivery practices for intelligent process automation. It partners with business and Technology stakeholders to identify opportunities, define requirements and business cases, scope and plan initiatives, manage project delivery, and ensure solutions are tested, deployed, and sustained. The role also leads change management and communications, supports stakeholder adoption, develops talent, and provides specialist advice to senior leaders and enterprise stakeholders.

Requirements

Typically 5–10 years of relevant experience and a post-secondary degree in a related field, or an equivalent combination of education and experience.
Bachelor’s degree in computer science, engineering, information systems, information technology, business administration, or a related field.
In-depth knowledge of robotics and intelligent process automation, machine learning, and data-driven solutions.
Experience working with senior business and technology stakeholders and subject matter experts to implement projects.
Experience participating in cross-functional programs from conceptualization through delivery and ongoing operations.
Experience in process mapping and transformation.
Experience in project planning and execution, including scoping, budgeting, and risk and issue management.
Expert verbal and written communication skills.
Expert analytical and problem-solving skills.
Expert influencing skills.
Strong collaboration and team skills, with a focus on cross-group collaboration.
Ability to manage ambiguity.
Expert data-driven decision-making skills.

Nice To Haves

Master’s degree with a concentration in machine learning or data science.
Experience managing a software development lifecycle (SDLC).
Experience leading product roadmaps.
Experience with WorkFusion, UiPath, or other automation tools.

Responsibilities

Lead the intelligent automation practice and develop strategies to deliver performance efficiencies through artificial intelligence, data and analytics, and technology.
Establish and maintain governance, standards, controls, and practices for intelligent process automation across the enterprise.
Work with stakeholders to understand business needs, prioritize opportunities, challenge current processes, and identify automation use cases.
Prepare business cases and define project scope, budgets, resourcing plans, timelines, effort estimates, governance, and exit criteria.
Lead the design, development, testing, deployment, and sustainment of robotic and intelligent automation solutions.
Manage project requirements, delivery plans, milestones, sprints, backlogs, risks, issues, and stakeholder communications.
Partner with business and Technology teams to craft business and technical requirements and determine infrastructure and environment needs.
Facilitate interviews, workshops, brainstorming sessions, and process mapping to document current and future state processes.
Collaborate with platform vendors to communicate and prioritize business needs in product roadmaps.
Define analytics and reporting requirements so data insights inform business decisions.
Educate and guide stakeholders through the intake, business case, and delivery of automation initiatives.
Lead change management initiatives, including readiness assessments, planning, stakeholder management, execution, evaluation, and sustainment.
Develop and coordinate communications strategies to influence or change behaviours and maintain consistent messaging.
Refine and maintain initiative intake processes, delivery methodologies, and ongoing maintenance practices.
Establish goals and measurement frameworks to monitor project effectiveness and identify process improvements.
Develop expertise in implementation costing and sizing and identify opportunities to optimize spending.
Provide day-to-day problem-solving support throughout intake, implementation, testing, deployment, and production.
Evaluate intelligent automation strategies and research emerging approaches and technologies.
Create proofs of concept, demonstrations, videos, and other materials to develop and showcase opportunities.
Build stakeholder relationships, align groups, provide thought leadership, and offer advice to business groups and senior leaders.
Coach employees, support career development, recognize performance, and address performance concerns.
Apply the organization's Risk Management Framework and make risk-informed decisions consistent with policy, law, regulation, and approved risk appetite.