Note: The job is a remote job and is open to candidates in USA. Diverse Lynx is seeking an AI enabled Technical PM with an Oracle finance background. The role involves leading AI-assisted financial analytics and ensuring delivery excellence through AI adoption, while driving modernization across engineering and operations.
Responsibilities
- Enable AI-assisted financial analytics, automated reconciliation, intelligent forecasting, and compliance monitoring
- Demonstrate practical understanding of AI tools, automation frameworks, analytics platforms, and productivity improvement methods relevant to the domain
- Accountable for end-to-end ownership of the workstream, including delivery, operations, business value realization, and AI-led transformation outcomes
- Operate as a business-aligned technology leader embedded within client leadership teams, ensuring delivery excellence, operational stability, and measurable productivity gains through AI adoption
- Drive AI-enabled modernization across engineering, operations, governance, and customer engagement while ensuring compliance, security, and responsible AI practices
- Demonstrate practical usage of AI copilots, GenAI platforms, automation tools, and intelligent workflow solutions in day-to-day operations
- Drive measurable productivity improvement targets through AI-assisted engineering, support, analytics, testing, documentation, and operations
- Implement AI-assisted delivery models including automated documentation, intelligent monitoring, predictive operations, and AI-based decision support
- Build a culture of continuous AI learning, experimentation, and adoption across teams
- Ensure all teams are trained on responsible AI, data security, compliance, and ethical AI usage
- Identify and implement AI use cases that reduce cycle time, improve quality, increase automation coverage, and optimize operational costs
- Track and report AI-driven productivity metrics and business outcomes as part of governance reviews
- Execute business-aligned modernization roadmaps across cloud, AI, automation, observability, and enterprise platforms
- Own build-run-optimize lifecycle with DevOps and AI-enabled operating models tied to business KPIs
- Optimize budgets and maximize ROI through automation, AI productivity gains, and operational efficiencies
- Embed AI into engineering, operations, testing, support, analytics, and governance processes with measurable business impact
- Establish KPI-driven governance using intelligent analytics, predictive insights, and proactive risk management
- Provide executive-level insights using data-driven reporting, AI-assisted analytics, and business outcome tracking
- Enable seamless integration across Salesforce, ServiceNow, Billing, Finance, Infrastructure, Data, AI, and DevOps platforms
- Build high-performing teams with strong AI literacy, automation capabilities, consulting mindset, and engineering discipline
- Manage customer requirements and expectations, effectively collaborating with cross-functional teams to ensure clear understanding, alignment, and timely delivery
- Plan and execute with expertise in creating structured delivery plans and tracking progress to completion, proficient in leveraging Jira
- Manage escalations effectively, quickly assessing issues, identifying root causes, driving resolution, and ensuring timely closure while minimizing business impact
- Ensure teams remain focused on delivery plans, maintaining cohesion, and driving consistent alignment across internal teams and key stakeholders
- Adopt a consulting mindset when engaging with customers, proactively understanding their pain points, expectations, and business objectives, and translating them into well-defined features and user stories
- Drive continuous alignment with stakeholders, regularly validating requirements, gathering feedback, and refining features and user stories to reflect evolving needs
- Ensure adaptability in planning and execution, making timely adjustments to timelines, priorities, and estimations to reflect changes while maintaining overall delivery commitments
- Act as a bridge between business and delivery teams, ensuring requirements are clearly articulated, prioritized, and consistently aligned with customer expectations throughout the lifecycle
Skills
- 15–20+ years of total experience with 5–8+ years in leadership roles
- Demonstrated experience in AI-enabled delivery transformation and enterprise modernization
- Hands-on exposure to AI copilots, intelligent automation platforms, analytics-driven operations, or GenAI-based productivity tools
- Strong understanding of DevOps, Agile, SRE, automation engineering, and modern platform operations
- Experience managing global delivery teams and multi-vendor ecosystems
- Ability to drive measurable productivity improvements through AI and process optimization
- Demonstrate practical understanding of AI tools, automation frameworks, analytics platforms, and productivity improvement methods relevant to the domain
- Demonstrate practical usage of AI copilots, GenAI platforms, automation tools, and intelligent workflow solutions in day-to-day operations
- Drive measurable productivity improvement targets through AI-assisted engineering, support, analytics, testing, documentation, and operations
- Implement AI-assisted delivery models including automated documentation, intelligent monitoring, predictive operations, and AI-based decision support
- Build a culture of continuous AI learning, experimentation, and adoption across teams
- Ensure all teams are trained on responsible AI, data security, compliance, and ethical AI usage
- Identify and implement AI use cases that reduce cycle time, improve quality, increase automation coverage, and optimize operational costs
- Track and report AI-driven productivity metrics and business outcomes as part of governance reviews
- Own build-run-optimize lifecycle with DevOps and AI-enabled operating models tied to business KPIs
- Optimize budgets and maximize ROI through automation, AI productivity gains, and operational efficiencies
- Embed AI into engineering, operations, testing, support, analytics, and governance processes with measurable business impact
- Establish KPI-driven governance using intelligent analytics, predictive insights, and proactive risk management
- Provide executive-level insights using data-driven reporting, AI-assisted analytics, and business outcome tracking
- Enable seamless integration across Salesforce, ServiceNow, Billing, Finance, Infrastructure, Data, AI, and DevOps platforms
- Build high-performing teams with strong AI literacy, automation capabilities, consulting mindset, and engineering discipline
- Strong ability to manage customer requirements and expectations, effectively collaborating with cross-functional teams to ensure clear understanding, alignment, and timely delivery
- Proven capability in planning and execution, with expertise in creating structured delivery plans and tracking progress to completion
- Proficient in leveraging Jira to manage features, user stories, and end-to-end delivery lifecycle
- Effective escalation management, with the ability to quickly assess issues, identify root causes, drive resolution, and ensure timely closure while minimizing business impact
- Excellent stakeholder and team alignment skills, ensuring teams remain focused on delivery plans, maintaining cohesion, and driving consistent alignment across internal teams and key stakeholders
- Adopt a consulting mindset when engaging with customers, proactively understanding their pain points, expectations, and business objectives, and translating them into well-defined features and user stories
- Drive continuous alignment with stakeholders, regularly validating requirements, gathering feedback, and refining features and user stories to reflect evolving needs
- Ensure adaptability in planning and execution, making timely adjustments to timelines, priorities, and estimations to reflect changes while maintaining overall delivery commitments
- Act as a bridge between business and delivery teams, ensuring requirements are clearly articulated, prioritized, and consistently aligned with customer expectations throughout the lifecycle
Company Overview
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. It was founded in 2002, and is headquartered in Princeton, New Jersey, US, with a workforce of 1001-5000 employees. Its website is http://www.diverselynx.com.