Principal Manager, Applied AI

Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world. Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture. Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.

• 7+ years of management experience in program management, innovation leadership, or digital transformation within a high-growth environment.
• Expertise in matrix leadership, leading through influence and managing decentralized communities.
• Ability to align diverse stakeholders—from CxO to Delivery Leads—around a unified AI roadmap.
• Business fluency in Finance (ROI, efficiency), Legal (compliance, risk), and Delivery (velocity, quality).
• Operational excellence with a builder mindset to turn messy, manual processes into structured, automated, and scalable workflows.
• Exceptional English communication skills, capable of presenting complex transformation results to C-suite executives and high-value clients.

Enterprise & Delivery Orchestration:

• 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.
• 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.
• Act as the central sync-point for "AI Champions" across the firm, ensuring local innovations in delivery or sales squads are captured, standardized, and scaled globally.

Portfolio & Roadmap Leadership:

• Ensure all Applied R&D outputs and Champion initiatives align strictly with corporate strategic goals and high-value business outcomes.
• Own the AI innovation backlog, balancing demands of corporate functional heads with technical milestones of the delivery engine, prioritizing based on business impact, risk, and feasibility.
• Manage the transition of successful prototypes into industrialized, supported tools fully integrated into departmental workflows.

Strategic Communication & Governance:

• Act as the internal evangelist for AI-native transformation, managing the cultural shift required for teams to trust and adopt non-deterministic, agentic systems.
• Define and track KPIs for AI adoption and efficiency gains, regularly reporting on "Time Saved" and "Value Added" to executive leadership.
• Collaborate with Legal and Security stakeholders to ensure all AI-driven interventions maintain the highest standards of data privacy and corporate governance.