AI Velocity Program Director

Ericsson•Plano, TX

2d•Onsite

About The Position

Ericsson is seeking an experienced AI Velocity Program Director to coordinate execution of its AI Velocity vision across sales, delivery and common functions in the Americas. The vision combines trusted data, shared platforms and human expertise to simplify operations, accelerate innovation and create intelligent offerings. This highly visible senior individual contributor role is based in Plano, Texas, and reports to the Head of Commercial Management & AI Velocity, who is a member of the Americas Leadership Team. The director leads monthly and quarterly AI Velocity governance meetings with the Americas Leadership Team and global stakeholders. Working through project leaders and dedicated project resources, the role translates strategic priorities into an integrated program roadmap and ensures initiatives meet agreed schedule, budget and quality commitments while delivering measurable business value. The director also provides financial oversight, evaluates the initiative portfolio, establishes program governance, and aligns business, technology, platform, data and global teams. Success depends on strategic judgment, disciplined execution, trusted relationships and influence across organizational boundaries. The role partners with Finance and business owners to establish baselines, success measures and benefits tracking, validating outcomes such as productivity, cost efficiency, delivery quality and customer impact. It also supports adoption, operational readiness and ownership after implementation, and incorporates responsible AI, security and compliance requirements with the relevant owners.

Requirements

Demonstrated track record leading complex, cross-functional transformation programs with measurable delivery, financial and business results.
Experience taking AI initiatives from business case through implementation and value realization, with practical understanding of adoption at scale.
Strong program management expertise, including integrated planning, budget tracking, dependency management, quality assurance, risk mitigation and executive governance.
Critical thinking and gap-resolution skills.
Commercial and financial judgment to evaluate investment proposals, challenge assumptions and connect AI initiatives to business performance.
Executive presence and concise communication; ability to turn complex information into clear recommendations and lead discussions that result in decisions and action.
Ability to mobilize teams and influence senior stakeholders without direct reporting authority, navigate competing priorities and hold owners accountable.
Practical AI fluency to assess opportunities, limitations and delivery risks, and work credibly with business, technology, platform and data specialists.
Curiosity to challenge established ways of working, judgment to navigate ambiguity, and persistence to turn ambitious goals into sustained results.
Bachelor’s degree in a relevant science or engineering discipline.
At least 10 years of experience in the technology industry.

Nice To Haves

Master’s degree in a relevant science or engineering discipline.

Responsibilities

Translate AI Velocity priorities into an integrated program roadmap with clear outcomes, milestones, dependencies and accountable owners across sales, delivery and common functions.
Challenge and support project leaders to meet schedule, budget, quality and business-value commitments; anticipate delivery risks, resolve dependencies and drive corrective action.
Lead monthly and quarterly AI Velocity governance meetings with the Americas Leadership Team and global stakeholders, presenting progress, risks, investment needs and decisions required.
Track program and project budgets, forecasts and variances, and recommend investment priorities, resource needs and corrective actions.
Partner with Finance and business owners to establish baselines, success measures and benefits tracking, and validate productivity, cost-efficiency, delivery-quality and customer-impact outcomes and overall return on investment.
Assess new opportunities with business and technology leaders and recommend which initiatives to advance, scale, reshape or stop based on value, feasibility and strategic fit.
Define delivery standards, decision rights, reporting and escalation mechanisms, incorporating responsible AI, security and compliance requirements with relevant owners.
Align project leaders, business owners, platform and data teams, and global stakeholders around shared priorities; surface trade-offs and build agreement on actions.
Partner with business leaders and enablement teams to support adoption, operational readiness and clear ownership after implementation.
Turn delivery lessons into repeatable practices that strengthen the program.