The ideal candidate has spent years leading delivery within System Integrator environments or large enterprises and wants to apply AI to accelerate modernization at scale. Key Responsibilities Cross-Functional Delivery Pod Leadership - Lead cross-functional delivery pods of Forward-Deployed Engineers, Data Engineers, and AI engineering teams, setting priorities, removing blockers, and holding the team accountable to outcomes - Own end-to-end delivery of multi-agent AI modernization programs from discovery through deployment and operational handoff - Build pod structures, cadences, and operating rhythms that scale across multiple concurrent customer engagements - Anticipate technical friction points related to data structures, legacy customizations, integrations, and workflow orchestration before they affect the pod’s velocity Multi-Workstream Orchestration - Run multiple parallel workstreams across data, integration, AI agent configuration, testing, and business process alignment, managing dependencies and sequencing between them - Coordinate across Tessera teams, customer stakeholders, and third-party vendors to maintain delivery momentum across every workstream - Develop integrated program plans that give leadership a single view of progress, risk, and value across all workstreams - Support modernization efforts spanning core business systems, CRM, finance, HRIS, and operational platforms Delivery & Value Stream Management - Map customer value streams end to end, identifying where Tessera’s agentic AI capabilities remove manual effort, shorten cycle times, and reduce cost - Define and track delivery and value metrics such as time-to-value, throughput, cycle time, and business outcomes achieved, and report them to executive stakeholders - Prioritize work by business value, so the highest-impact capabilities reach customers first - Continuously improve delivery flow by identifying bottlenecks, handoff delays, and waste across the program Technical Communication & Stakeholder Alignment - Act as the primary technical interpreter between customer technical teams, business stakeholders, and Tessera’s AI and product organizations - Lead discovery workshops to map system landscapes, business processes, data flows, and integration points to Tessera’s agentic AI capabilities - Translate technical trade-offs, delivery plans, and value outcomes for both executive stakeholders and delivery teams - Facilitate alignment across enterprise architecture, IT operations, security, and business functions Execution in Complex Enterprise Landscapes - Drive Agile delivery within enterprise change management frameworks and modernization methodologies - Anticipate risks related to legacy system remediation, data harmonization, integration dependencies, and business continuity - Develop mitigation plans grounded in operational and technical realities Enterprise-Grade Governance & Deployment - Ensure all delivery activities meet enterprise standards for security, compliance, auditability, and operational governance - Oversee technical prerequisites for integrations across enterprise platforms and cloud environments - Partner with customer security and infrastructure teams to ensure successful deployments and operational readiness Customer Engagement & Escalation Management - Serve as the primary delivery contact during onboarding and implementation - Manage technical escalations from customer IT and business teams, coordinating responses across pods, engineering, and product - Build trusted relationships with enterprise customers through clear communication, accountability, and consistent delivery Startup Mindset & Extreme Ownership - Operate effectively in a fast-paced, high-growth environment with evolving priorities and ambiguous challenges - Bring structure, clarity, and momentum to complex enterprise transformation programs - Travel to customer sites for workshops, solution design sessions, and implementation oversight as needed Required Qualifications - 4–6+ years of experience leading technical delivery for large enterprise modernization or transformation programs - Proven track record leading cross-functional delivery teams or pods through complex, technically demanding implementations - Demonstrated experience running multiple concurrent workstreams with significant dependencies - Experience mapping and managing value streams, and tying delivery work to measurable business outcomes - Comfort defining, tracking, and reporting delivery and value metrics to executive audiences - Strong understanding of enterprise business systems, integrations, data flows, and modernization challenges - Experience with one or more enterprise platforms such as SAP, Oracle, NetSuite, Workday, Salesforce, Microsoft Dynamics, Infor, or similar - Familiarity with enterprise architecture concepts, APIs, middleware, and cross-platform integrations - Ability to explain technical concepts, system constraints, integration challenges, and data models to both engineering teams and business stakeholders - Strong executive presence and stakeholder management skills - Strong command of Agile methodologies and experience orchestrating complex programs with multiple dependencies Preferred Qualifications - Experience at a top-tier consulting or system integration firm (e.g., Accenture, Deloitte, PwC, EY, IBM, Capgemini), or leading large enterprise modernization programs internally - Experience delivering AI/ML-enabled programs, or strong interest in LLMs, automation, and multi-agent AI orchestration - Familiarity integrating ERP and other core systems with adjacent platforms including CRM, HRIS, finance, analytics, middleware, and cloud infrastructure - PMP, Scrum Master, SAFe, value stream management, enterprise platform certifications, or related certifications are a plus Behavioral & Problem-Solving Expectations - Balance technical systems understanding with program structure and executive communication - Lead pods with clarity, accountability, and a bias toward outcomes over activity - Operate with extreme ownership and thrive in ambiguity - Simplify complexity and drive alignment across technical and business teams - Keep a strong customer-first, value-first mindset throughout complex transformation programs