Trinetix
Information Technology and Services
PrincipalManager,AppliedAI
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“Principal Manager, Applied AI at Trinetix. Skills: Applied AI, AI-native roadmap, Enterprise & Delivery Orchestration, Portfolio & Roadmap Leadership, Strategic Communication & Governance. serve as the strategic lead for AI adoption. ensuring AI-native roadmap delivers measurable competitive advantage”
What You'll Achieve.
deliver measurable competitive advantage; eliminate manual bottlenecks; maximize ROI; ensure AI-native engineering becomes the firm's operational standard; transition of successful prototypes into industrialized, supported tools; maintain the highest standards of data privacy and corporate governance; report on 'Time Saved' and 'Value Added'
Industry & Context.
identify high-impact AI interventions; eliminate manual bottlenecks; maximize ROI; balance the demands of corporate functional heads with the technical milestones; prioritizing based on business impact, risk, and feasibility
What They're Looking For.
Must Have
7+ Years of Management Experience, Matrix Leadership Mastery, Business Polymath, Operational Excellence, Communication
What You'll Do.
serve as the strategic lead for AI adoption
ensuring AI-native roadmap delivers measurable competitive advantage
optimizing corporate ecosystem
revolutionizing delivery lifecycle
act as the strategic bridge between Applied R&D and AI Champions
manage the technical roadmap
cross-functional alignment to move AI-native workflows from R&D into global production
own the transition of systems into a standardized
company-wide operational framework
Direct the integration of R&D outputs into the core delivery lifecycle
ensure AI-native engineering becomes the firm's operational standard
Audit and optimize the enterprise value chain by identifying high-impact AI interventions
eliminate manual bottlenecks
Act as the central sync-point for AI Champions
ensure local innovations are captured
Ensure all Applied R&D outputs and Champion initiatives align strictly with corporate strategic goals
Own the AI innovation backlog
balance demands of corporate functional heads with technical milestones
prioritizing based on business impact
Manage the 'last mile' of AI adoption
own the transition of successful prototypes into industrialized
Act as the internal evangelist for AI-native transformation
manage the cultural shift required for teams to trust and adopt non-deterministic
Define and track KPIs for AI adoption and efficiency gains
report on 'Time Saved' and 'Value Added' to the executive leadership team
Collaborate with Legal and Security stakeholders to ensure AI-driven interventions maintain the highest standards of data privacy and corporate governance
How You'll Work.
Team & Collaboration
cross-functional alignment; Act as the central sync-point for 'AI Champions' across the firm; align diverse stakeholders—from the CxO to Delivery Leads—around a unified AI roadmap; Collaborate with Legal and Security stakeholders
Communication Scope
Exceptional English skills; ability to present complex transformation results to C-suite executives and high-value clients
Process & Methodology
program management, innovation leadership, digital transformation, Roadmap Prioritization, AI innovation backlog management
Full Job Description
**Location: Remote or Hybrid ** Trinetix is entering its next phase of evolution: the adoption of AI across our entire global footprint. We are looking for a **Principal Manager, Applied AI** to serve as the strategic lead for this mission, ensuring that our AI-native roadmap delivers measurable competitive advantage across both corporate functions and client delivery In this role, you will manage a dual-focus mandate: optimizing our corporate ecosystem and revolutionizing our delivery lifecycle. You will act as the strategic bridge between our Applied R&D capabilities and our decentralized network of "AI Champions" embedded within corporate functions and delivery groups. This is a program-level management role. You are responsible for the technical roadmap and the cross-functional alignment required to move AI-native workflows from R&D into global production. You own the transition of these systems into a standardized, company-wide operational framework. **Key Pillars of Responsibility ** 1\. Enterprise & Delivery Orchestration * SDLC Industrialization: Direct the integration of R&D outputs—specifically agentic workflows, GraphRAG, and automated testing—into the core delivery lifecycle to ensure AI-native engineering becomes the firm's operational standard. * Corporate Value Chain Optimization: Audit and optimize the enterprise value chain by identifying high-impact AI interventions within core functions (Finance, Legal, Marketing, and Talent) to eliminate manual bottlenecks and maximize ROI. * The Hub-and-Spoke Manager: Act as the central sync-point for "AI Champions" across the firm. You ensure that local innovations in delivery or sales squads are captured, standardized, and scaled globally. 2\. Portfolio & Roadmap Leadership * Strategic Alignment: Ensure that all Applied R&D outputs and Champion initiatives align strictly with corporate strategic goals and high-value business outcomes. * Roadmap Prioritization: Own the AI innovation backlog. You must balance th
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