Senior Technical Project Manager (Enterprise Modernization & AI Delivery

Tessera Labs

9d•$170,000 - $250,000

About The Position

Tessera Labs is seeking a Technical Project Manager with deep expertise in delivery and value stream management to lead strategic customer implementations. This delivery leader directs cross-functional pods across parallel workstreams, ensuring Tessera’s multi-agent AI solutions are integrated predictably, safely, and successfully into complex enterprise environments, with measurable value delivered throughout each engagement. The role bridges Tessera and enterprise customer delivery teams across business systems such as ERP, CRM, finance, HR, and operational platforms. The TPM works with customer solution architects, technical teams, system owners, and business stakeholders to translate operational and technical requirements into actionable plans, guide issue resolution and architecture discussions, and align workstreams on technical feasibility and customer value. The position owns end-to-end delivery of modernization programs from discovery through deployment and operational handoff. It includes mapping value streams, managing dependencies and delivery metrics, facilitating stakeholder alignment, supporting enterprise-grade governance and deployment readiness, and serving as the primary delivery contact during onboarding and implementation. The role operates in a fast-paced, high-growth environment with evolving priorities and may require travel to customer sites for workshops, solution design, and implementation oversight.

Requirements

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.
Ability to define, track, and report 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 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.
Ability to balance technical systems understanding with program structure and executive communication.
Ability to lead pods with clarity, accountability, and a bias toward outcomes over activity.
Ability to operate with ownership and thrive in ambiguity, simplify complexity, and align technical and business teams.
Strong customer-first, value-first mindset.

Nice To Haves

Experience at a top-tier consulting or system integration firm, such as Accenture, Deloitte, PwC, EY, IBM, or Capgemini, or experience 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.

Responsibilities

Lead cross-functional delivery pods of Forward-Deployed Engineers, Data Engineers, and AI engineering teams; set priorities, remove blockers, and hold teams 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 concurrent customer engagements.
Anticipate technical friction related to data structures, legacy customizations, integrations, and workflow orchestration.
Manage parallel workstreams across data, integration, AI agent configuration, testing, and business process alignment, including dependencies and sequencing.
Coordinate Tessera teams, customer stakeholders, and third-party vendors to maintain delivery momentum.
Develop integrated program plans that provide leadership with a unified view of progress, risk, and value.
Support modernization across core business systems, CRM, finance, HRIS, and operational platforms.
Map customer value streams and identify where agentic AI can remove manual effort, shorten cycle times, and reduce cost.
Define, track, and report delivery and value metrics, including time-to-value, throughput, cycle time, and business outcomes.
Prioritize work by business value and continuously improve delivery flow by identifying bottlenecks, handoff delays, and waste.
Serve as the 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.
Translate technical trade-offs, delivery plans, and value outcomes for executive stakeholders and delivery teams.
Facilitate alignment across enterprise architecture, IT operations, security, and business functions.
Drive Agile delivery within enterprise change management frameworks and modernization methodologies.
Anticipate risks involving legacy system remediation, data harmonization, integration dependencies, and business continuity, and develop mitigation plans.
Ensure delivery meets enterprise standards for security, compliance, auditability, and operational governance.
Oversee technical prerequisites for integrations and partner with customer security and infrastructure teams on deployment and operational readiness.
Serve as the primary delivery contact during customer onboarding and implementation.
Manage technical escalations from customer IT and business teams, coordinating responses across delivery pods, engineering, and product.
Build trusted customer relationships through clear communication, accountability, and consistent delivery.
Bring structure and momentum to complex transformation programs in a fast-paced environment with evolving priorities and ambiguity.
Travel to customer sites for workshops, solution design sessions, and implementation oversight as needed.