Vice President, Software Engineering

Ascensus•Philadelphia, PA

54d•$230 - $280•Hybrid

About The Position

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. The Vice President of Software Engineering and Development leads high-performing teams across engineering, QA, DevOps, and architecture for the assigned line of business. This role partners closely with product and business leaders to deliver scalable, secure, and high-quality software solutions. The VP drives operational efficiency through lean practices, automation, and data-driven metrics, and operationalizes AI by establishing governance, delivery patterns, and platform capabilities that move pilots into production with measurable business outcomes. This role influences enterprise technology strategy and fosters alignment across IT to deliver scalable, secure, and innovative solutions. This position reports to the SVP of Software Engineering and Development for the assigned line of business. There is only 1 position. Can be hybrid in either our Newton, MA or Dresher, PA locations.

Responsibilities

Leadership and Talent Development
Operational Excellence and Efficiency
Software Delivery and Agile Execution
Innovation and Emerging Technology
Platform and Architecture Stewardship
Risk, Security, and Compliance
Financial and Vendor Management
Cross-Functional Collaboration and Client Support
General
Attract, develop, and retain diverse, high-performing engineering, QA, DevOps, and architecture teams.
Set clear goals and succession plans, and foster accountability, learning, and psychological safety.
Model leadership behaviors that elevate engagement, inclusion, and performance.
Promote a culture of continuous learning and inclusive leadership across all levels.
Improve time to value using lean value-stream practices and a standard metric set: throughput, cycle time, predictability, change failure rate, lead time for changes, and mean time to restore.
Apply SRE practices for reliability, observability, incident response, and post-incident learning.
Standardize tools and automation to reduce toil and raise developer productivity, with FinOps to optimize run costs and unit economics.
Champion quality assurance practices to ensure software products meet rigorous standards and deliver excellent client experiences.
Strengthen onboarding processes for new associates and consultants, ensuring rapid ramp-up through structured training, documentation, and mentorship.
Promote continuous learning and upskilling through targeted enablement programs aligned with evolving technology and business needs.
Ensure consistent agile execution with clear sprint and release commitments across multiple teams.
Institutionalize feedback loops and retrospectives that inform capacity planning and roadmaps.
Advance engineering excellence including test automation, CI/CD, infrastructure as code, and quality engineering.
Promote a metrics-driven culture that uses data to guide roadmap sequencing, capacity planning, and risk management.
Translate prioritized business problems into AI roadmaps with defined success metrics and value targets.
Establish and evolve MLOps for development, testing, deployment, monitoring, and drift management.
Govern data privacy, responsible AI, and model risk in partnership with Risk, Security, and Compliance.
Scale repeatable AI patterns into production and ensure alignment with business outcomes and compliance standards.
Foster a culture of experimentation and innovation across teams.
Evaluate and pilot new AI capabilities, tools, frameworks, and platforms that accelerate delivery, improve resilience, or unlock new business value.
Monitor emerging technologies and trends to identify opportunities for strategic adoption and competitive advantage.
Guide development of scalable, maintainable platforms aligned to enterprise architecture.
Drive reuse through standards and shared components to reduce complexity and cost.
Plan and execute modernization of legacy platforms with minimal client and associate disruption.
Lead cloud migration and platform transformation initiatives that support long-term scalability and resilience.
Ensure compliance with SOC-aligned controls and internal governance standards.
Embed secure development lifecycle practices with clear vulnerability remediation SLAs.
Protect confidential data with proper handling to prevent unauthorized access or disclosure, and produce audit-ready evidence.
Collaborate with Security and Risk teams to proactively identify and mitigate threats across the software lifecycle.
Own budget planning and forecasting, and manage capacity to plan.
Manage vendor performance and contracts to outcomes, and make sound build versus buy decisions.
Present portfolio health and value delivery to senior stakeholders with clear, actionable insights.
Align financial decisions with long-term technology strategy and operational efficiency goals.
Align with Product on outcome-based roadmaps and prioritization.
Support RFPs and key client engagements as the primary IT contributor .
Share best practices and drive alignment across IT.
Represent technology leadership in client-facing discussions to reinforce trust and transparency.
Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients.