How does swipeandhired work?

You set your target roles, salary floor and locations once. swipeandhired scores matching postings against your profile, drafts tailored application materials with AI, and either lets you swipe to apply, one tap at a time, or runs fully on autopilot. Every application is tracked in your dashboard.

Which ATS platforms does swipeandhired support?

All of them. swipeandhired applies on every applicant tracking system (ATS) employers use, including Workday, SmartRecruiters, Greenhouse, iCIMS, Lever, Ashby, Taleo, SuccessFactors, Oracle Cloud and Jobvite, and on a company's own careers page when it uses none of them. You can also bring any posting yourself by link or pasted text.

Can I cancel my subscription?

Anytime, in one click from the billing portal in Settings. Your plan stays active until the end of the current billing period. No retention calls, no dark patterns.

Is my data used for training AI models?

Our platform AI provider may use the content we send it, your profile and the job posting, to improve its models. We never sell your data. If you bring your own AI provider key, requests go directly to your provider under their terms.

AI Transformation Lead Technical Program Manager- Workforce / HR Platforms at JPMorgan Chase, Jersey City, NJ

AI Transformation Lead Technical Program Manager- Workforce / HR Platforms at JPMorgan Chase in Jersey City, NJ. Est. up to $200k. Apply with swipeandhired.

Leverage your deep technical expertise and leadership to guide cutting-edge projects, fostering growth and innovation in a dynamic environment.

As an AI Transformation Lead Technical Program Manager- Workforce / HR Platforms at JPMorgan Chase in the Corporate Sector- Employee Platforms, you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. You will lead strategy-to-execution for an Operating Committee-sponsored, multi-year transformation spanning HR and Technology. You will translate executive intent into a clear outcomes framework, integrated roadmap, and disciplined delivery across multiple workstreams. You’ll partner closely with engineering, architecture, product, HR, and control functions to drive delivery transparency, manage interdependencies, and enable sustained adoption—while embedding responsible AI capabilities into program execution.
Job Responsibilities

Own end-to-end program delivery for a complex, multi-year transformation, translating Operating Committee priorities into clear problem statements, target outcomes, milestones, and measurable success metrics.
Lead governance and executive operating cadence, including OKRs/KPIs, executive steering materials, RAID, dependency management, delivery health reporting, and decision/approval forums to enable timely, well-informed decisions.
Create and maintain integrated program plans across teams and vendors, including sequencing, resourcing inputs, requirements/feature tracking, milestones, and cutover/rollout planning to ensure on-time delivery and seamless integration with existing platforms.
Drive cross-functional alignment with engineering, architecture, product, HR, and key stakeholders to clarify scope, value case, dependencies, and trade-offs; maintain accountability across workstreams and remove blockers.
Enable change management, adoption, and benefits realization, partnering with HR and change stakeholders on communications, training approaches, readiness tracking, and measurement of realized outcomes to ensure solutions embed into business-as-usual.
Proactively manage risks, issues, and dependencies, surfacing concerns early, driving mitigation plans, and executing appropriate escalation paths with clear options and recommendations.
Deliver executive-ready narratives and insights, using crisp synthesis and data visualization to communicate progress, risks, trade-offs, decisions required, and recommendations.
Facilitate workshops and decision forums that build shared understanding, resolve ambiguity, and maintain momentum across HR and Technology leadership.
Strengthen delivery discipline and continuous improvement, applying modern delivery practices and helping teams inspect/adapt operating rhythms, metrics, and ways of working to improve predictability and outcomes.
Champion AI fluency and responsible adoption of agentic capabilities, identifying and delivering opportunities to embed AI-assisted workflows into program execution (e.g., portfolio insights, delivery automation, risk identification, stakeholder communications) in partnership with product, engineering, and control stakeholders.
Lead experimentation and learning loops, running lightweight pilots with defined success measures, capturing lessons learned, and scaling what works with appropriate governance and risk management.

Required Qualifications, Capabilities, and Skills

5 + years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization
Demonstrated ability to lead delivery across multiple teams and stakeholder groups, including complex planning, dependency management, and executive-level communication.
Strong strategic and analytical capability to define success measures, assess performance, identify improvement opportunities, and drive data-driven metrics (OKRs/KPIs, delivery health indicators).
Strong governance and controls orientation, including risk/issue management, documentation rigor, and operating committee/steering engagement.
Proven ability to deliver adoption and change outcomes (communications, readiness, training coordination, benefits tracking) as part of sustained transformation.
Excellent facilitation and stakeholder management skills; comfortable driving alignment, negotiating trade-offs, and presenting clear recommendations to senior leaders.
Fluency across delivery methodologies and tools (Agile, Scrum, Kanban, Waterfall) with sound judgment to apply the right approach per initiative.
High adaptability and structured problem-solving in fast-paced, ambiguous environments.
Strong technical fluency across modern platforms and digital tools, enabling effective partnership with architecture and engineering teams.
AI fluency and intellectual curiosity, with the ability to evaluate and apply agentic tools to improve delivery execution and transparency while balancing governance and risk.
Experience supporting programs spanning HR and Technology / Employee Platform and Workforce Solutions, as well as with programs for AI Transformation

Preferred Qualifications, Capabilities, and Skills

Strong executive communication skills (clear writing, crisp synthesis, decision-oriented storytelling)
Certifications (Agile/Scrum, PMP, Lean, Prosci/change management)