Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

The Senior Manager, Software Engineering provides technical and people leadership for multiple Scrum-based engineering teams building secure, scalable, and compliant software solutions for financial services platforms. This role drives delivery of full-stack applications and AI/ML-enabled capabilities while ensuring adherence to regulatory, security, and operational excellence standards.

Key Responsibilities

• Lead the design and delivery of full-stack applications using modern front-end, back-end, and cloud-native technologies

• Guide adoption and integration of AI/ML technologies (e.g., predictive analytics, intelligent automation, personalization, risk modeling) into enterprise platforms

• Partner with Architecture and Data teams to ensure AI/ML solutions are scalable, explainable, secure, and compliant

• Establish and enforce engineering best practices for code quality, testing, CI/CD, observability, and reliability

• Collaborate with Security, Risk, and Compliance teams to embed controls into the SDLC

• Support audit readiness, model governance, and documentation standards for AI/ML solutions

• Drive data governance, privacy, and responsible AI practices

• Build, scale, and lead high-performing full-stack engineering teams, including engineers, data engineers, and ML practitioners

• Manage and mentor Engineering Managers, Tech Leads, and senior engineers

• Own hiring strategy, onboarding, performance management, and career development

• Foster a culture of accountability, innovation, and continuous learning

• Lead multiple Scrum teams and ensure consistent application of Agile/Scrum practices

• Partner with Product Owners and Scrum Masters to manage backlogs, sprint planning, and delivery commitments

• Drive predictable, high-quality delivery through metrics such as velocity, cycle time, and defect rates

• Remove impediments and manage cross-team dependencies

• Oversee the end-to-end lifecycle of AI/ML solutions, including data pipelines, model development, deployment, and monitoring

• Translate business and product strategy into engineering roadmaps and execution plans

• Balance short-term feature delivery with long-term platform scalability and technical debt reduction

• Manage risks, trade-offs, and dependencies across teams and programs

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

• 10+ years of software engineering experience with 5+ years in people leadership roles

• Experience building and scaling full-stack engineering teams in enterprise environments

• Hands-on experience delivering AI/ML-enabled solutions in production systems

• Strong understanding of cloud-native architectures, APIs, and distributed systems

• Proven experience managing Scrum teams and Agile delivery at scale

Preferred Qualifications

• Experience in financial services, fintech, or other regulated industries

• Familiarity with AI/ML frameworks and platforms (e.g., Python, TensorFlow, PyTorch, MLflow)

• Experience with public cloud platforms (AWS, Azure, or GCP)

• Knowledge of data platforms, analytics, and real-time processing systems

Leadership Competencies

• Strategic mindset with strong execution discipline

• Ability to influence across Product, Data, Risk, and Compliance organizations

• Strong communication skills with both technical and non-technical stakeholders

• Commitment to ethical AI, security, and customer trust

We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.