Job Details

Company Description Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. Thats why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit or follow Vericast on LinkedIn.

Job Description

The Senior Project Manager in our Product Management Office (PMO) leads strategic, high-complexity projects and programs focused on artificial intelligence and machine learning initiatives. This role combines technical project leadership with business acumen, managing AI/ML implementations, data platform modernization, intelligent automation, and cross-functional digital transformation efforts. You'll orchestrate projects from concept through production deployment, ensuring AI solutions are delivered on time, within budget, and aligned with business value and ethical AI principles. As a trusted advisor to stakeholders and a mentor to project teams, you'll bridge technical, business, and consulting domains while championing agile methodologies and modern project management practices.

Key Duties/Responsibilities

• Automation Project Leadership & Delivery

  Lead end-to-end delivery of complex automation and machine learning projects, including model development initiatives, automation platform implementations, intelligent automation solutions, and generative automation integrations. Drive projects through all lifecycle phases using hybrid methodologies (Agile, Scrum, Waterfall, MLOps) tailored to automation project needs. Manage project scope, timeline, budget, and quality standards while navigating the unique challenges of automation projects (model performance, data requirements, ethical considerations). Coordinate dependencies across data engineering, automation engineering, data science, and business stakeholder teams. Navigate the automation project lifecycle from use case identification through model training, validation, deployment, and monitoring.

• Intelligent Automation Initiatives

  Support implementation and optimization of automation platforms, including model training infrastructure, MLOps pipelines, feature stores, and model monitoring systems. Coordinate cross-functional teams on projects involving generative automation applications, natural language processing, computer vision, predictive analytics, and intelligent process automation. Partner with data science, engineering, and business teams to deliver automation solutions that drive measurable business outcomes and ROI. Manage relationships with automation technology vendors, cloud providers (AWS, Azure, GCP), and automation consulting partners. Ensure responsible automation practices including bias detection, explainability, data privacy, and governance frameworks.

• Stakeholder Communication & Collaboration

  Serve as primary point of contact for automation project teams, business owners, and executive sponsors. Deliver clear, concise communications including status reports, executive dashboards, and risk assessments tailored for both technical and non-technical audiences. Translate complex automation concepts and project progress into business value language for leadership. Facilitate stakeholder alignment through sprint reviews, model review sessions, steering committee meetings, and automation governance forums. Present project updates, model performance metrics, and recommendations to leadership using data visualization and storytelling techniques.

• Team Coordination & Resource Management

  Coordinate distributed, cross-functional teams including data scientists, automation engineers, data engineers, software developers, UX designers, and business analysts. Manage daily standups, sprint planning, model review sessions, retrospectives, and other agile ceremonies. Monitor team velocity, sprint burndown, model development milestones, and progress against OKRs. Request and allocate specialized automation resources based on skill requirements and project priorities. Navigate resource constraints in competitive automation talent markets.

• Change Management & Automation Adoption

  Partner with business units to ensure smooth implementation of automation solutions and intelligent automation. Develop and execute change management plans addressing automation literacy, training, documentation, and user adoption. Validate that automation capabilities are adopted, monitored, and that governance controls and feedback loops are established. Review automation deliverables to ensure alignment with acceptance criteria, model performance benchmarks and business objectives. Address organizational change resistance and automation anxiety through education and transparent communication.

• Mentorship & Knowledge Sharing

  Mentor junior and mid-level project managers on methodologies, tools, and automation project best practices. Stay current on emerging trends in project management, agile practices, automation technologies, and responsible automation frameworks. Contribute to PMO process improvements and development of automation-specific templates, frameworks, and lessons learned. Provide input to performance reviews for project team members. Build organizational automation literacy through knowledge sharing and documentation.

• Risk & Change Management

  Identify, assess, and mitigate automation?specific project risks including data quality issues, model performance degradation, ethical concerns, and regulatory compliance. Evaluate scope changes and their impact on timeline, budget, resources, and model requirements. Present change requests and recommendations to leadership with supporting analysis and impact assessments. Maintain RAID logs (Risks, Assumptions, Issues, Dependencies) with automation?specific considerations and escalate as needed. Monitor and address automation governance, security, and compliance requirements.

Qualifications

• Education Bachelor's degree in Business, Computer Science, Data Science, Engineering, or related field; Masters degree or MBA preferred.
• Experience 5+ years managing large?scale, cross?functional projects and programs in AI/ML, data science, intelligent automation or advanced analytics domains. Proven track record leading multiple systems integration and AI implementation projects through full lifecycle. Consulting experience strongly preferred, with demonstrated ability to adapt quickly to new business contexts, build stakeholder relationships, deliver value in client?facing or internal consulting environments and manage ambiguity in emerging technology spaces. Hands?on experience with agile frameworks (Scrum, Kanban, SAFe) and traditional methodologies. Experience supporting automation initiatives such as predictive modeling projects, GenAI implementations, MLOps platform buildouts or intelligent automation programs. Background working with remote and distributed teams across technical and business functions.
• Knowledge/Skills/Abilities Understanding of automation concepts including supervised/unsupervised learning, model training and evaluation, feature engineering and model deployment. Familiarity with automation technology stacks, cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and MLOps tools. Knowledge of data pipelines, data governance and data privacy regulations (GDPR, CCPA, AI?Act) as they relate to automation projects. Awareness of responsible automation principles including fairness, transparency, explainability and bias mitigation. Experience with project management tools (Jira, Asana, Azure DevOps, Monday.com, MS?Project). Proficiency with collaboration platforms (Confluence, Miro, Slack, Microsoft Teams) and data visualization tools. Project Management Excellence: Advanced knowledge of PMI, Agile and hybrid methodologies with relevant certifications (PMP, CSM, SAFe, PMI?ACP) preferred. Strategic Communication: Ability to translate complex automation concepts for business audiences and technical teams. Influence & Leadership: Proven ability to lead without direct authority and drive consensus across diverse stakeholders including skeptics of automation technology. Problem Solving: Strong analytical skills with experience in root cause analysis, risk mitigation and creative solution development in uncertain environments. Automation Literacy: Comfort working with emerging automation technologies and ability to learn new automation concepts quickly. Continuous Improvement: Knowledge of Lean, Six Sigma or similar methodologies a plus. Financial Acumen: Experience with budget management, forecasting, ROI analysis and business case development for AI investments. Consulting Mindset: Structured problem?solving approach, client service orientation and ability to deliver actionable insights. Exceptional organizational abilities with strong attention to detail in fast?paced environments. Skilled facilitator capable of running productive meetings and gaining buy?in on innovative automation initiatives. Diplomatic approach to navigating competing priorities, organizational politics and technical trade?offs. Customer?centric mindset with focus on collaboration, team building and delivering business value. Adaptable and comfortable with ambiguity, pivoting strategies and the iterative nature of automation development. Intellectual curiosity and enthusiasm for emerging technologies.

Additional Information

Base Salary: $130,000$150,000.
Position is eligible for an annual bonus incentive program.

• Applications will be accepted through December?15,?2025, after which the posting will be closed and no longer available for submissions.

Compensation Notes: The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience and responsibilities.

Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401?K with company match and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!

At Vericast, we dont just accept differences we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients and our community. As an equal?opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at ...@vericast.com. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.

Seniority level

Mid?Senior level

Employment type

Full?time

Job function

Product Management

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