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indeed

Senior Manager- AI Strategy & Solutions

Ameriprise Financial
Uttar Pradesh, IND
Full-time
Hybrid
Discovered 1 months ago
AI StrategyArtificial IntelligenceMachine LearningGenerative AIProgram ManagementPortfolio Management

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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