Senior Manager- AI Strategy & Solutions
Role Overview
Lead execution and operationalization of enterprise AI initiatives, translating AI strategy into scalable, business-impacting solutions.
Act as a senior program leader accountable for execution, value realization, and executive alignment across priority AI initiatives.
Key Skills for This Role
Full Job Posting
Role Summary
Lead execution and operationalization of enterprise AI initiatives, translating AI strategy into scalable, business-impacting solutions.
Act as a senior program leader accountable for execution, value realization, and executive alignment across priority AI initiatives.
Key Responsibilities
- Translate enterprise AI strategy into roadmaps, delivery plans, and implementation milestones.
- Drive AI initiatives from concept to pilot, scaled deployment, and sustained adoption.
- Own delivery scope, timelines, and measurable business impact.
- Lead an enterprise portfolio of AI use cases and programs.
- Manage prioritization, dependencies, risks, KPIs, milestones, and escalation.
- Partner with business, technology, data, risk, legal, and governance teams.
- Engage senior leaders to drive alignment and transparency on progress, risks, and outcomes.
- Guide fit-for-purpose AI, ML, and GenAI solution design, scalability, and integration.
- Drive adoption, workflow integration, change management, and value realization.
- Ensure AI governance, risk, compliance, transparency, fairness, and controls.
- Build execution capability and accountability across cross-functional teams.
Required Qualifications
- Bachelor's degree or equivalent.
- 8–10+ years in AI, data and analytics, digital, or large-scale transformation; strategy consulting experience is preferred.
- Success delivering complex cross-functional initiatives with an enterprise mindset.
- Understanding of AI, ML, GenAI, data platforms, and enterprise technology environments.
- Strong communication and stakeholder influence skills.
- Ability to lead effectively in a matrixed environment without direct authority.
- Experience driving execution, adoption, change, and large-scale transformation outcomes.
- Strong analytical problem-solving, judgment, and decision-making skills.
Preferred Qualifications
- Advanced degree such as an MBA, Data Science degree, or related degree.
- Experience leading enterprise programs.
- Financial services or regulated industry experience.
- Experience balancing technical depth with program leadership.
- Familiarity with AI governance and responsible AI frameworks.
- Consulting, strategy, or enterprise transformation experience.
In-Office Collaboration
- Work in the office at least three days per week with flexibility to work from home two days per week.
- Some roles may require additional in-office time or different in-office expectations.
Employment and Timing
- Full-time role.
- Working hours are 2:00 p.m. to 10:30 p.m.
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