Preferred Locations: Minneapolis, Chicago, Dallas, NYC
Responsibilities
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Understand business models, workflows, user needs, constraints, and pain points to identify and define the underlying business problem.
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Identify opportunities to simplify, redesign, automate, or improve workflows and business processes.
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Translate ambiguous business challenges into clear problem statements, solution concepts, priorities, and actionable plans.
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Define desired outcomes, scope, success metrics, and roadmaps aligned with customer needs and business objectives.
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Evaluate and apply AI, automation, and emerging technologies to deliver measurable business value.
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Lead cross-functional collaboration across engineering, product, data, architecture, operations, compliance, finance, and business teams.
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Drive execution by managing priorities, dependencies, risks, tradeoffs, and key decisions throughout delivery.
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Partner with technical teams to address data, integrations, governance, security, scalability, cost, and production requirements.
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Guide the transition from solution design and development through deployment, adoption, and integration into business operations.
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Engage stakeholders and end users to gather feedback, improve workflows, and drive organizational change and sustained adoption.
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Establish ownership, operating processes, and performance measures to ensure solutions deliver lasting value.
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Track KPIs, business impact, costs, and outcomes post-deployment to identify opportunities for improvement.
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Communicate results, risks, and lessons learned, making evidence-based recommendations to scale, refine, pause, or discontinue initiatives.
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Maintain end-to-end accountability from initial discovery through delivery, adoption, and measurable business outcomes.
Required Qualifications
- Typically 10+ years of relevant experience in strategy, consulting, healthcare transformation, product or capability strategy, operations leadership, technology strategy, or a related field.
- Demonstrated ownership of complex, cross-functional change from problem definition through implementation, adoption, and measurable results.
- Proven ability to learn a complex operating model quickly, synthesize input from frontline experts, and build sufficient domain depth to make sound decisions.
- Experience shaping products, capabilities, workflows, processes, or operating-model changes using user needs, outcomes, roadmaps, priorities, and tradeoffs.
- Strong business judgment, including the ability to assess value, feasibility, risk, strategic fit, and investment choices when information is incomplete.
- Executive-level written and verbal communication, facilitation, storytelling, and stakeholder influence without direct authority.
- Technical fluency across AI, automation, data, software delivery, integration, and enterprise technology, sufficient to work directly with engineering teams and challenge assumptions.
- Experience establishing business cases, baselines, success measures, and value-realization plans.
- Ability to operate effectively in ambiguity, move from analysis to action, and maintain personal accountability for outcomes.
- Experience in healthcare, pharmacy benefit management, health services, insurance, regulated operations, or another complex enterprise environment.
- Background in management consulting, product leadership, digital transformation, enterprise operations, or technology-enabled business transformation.
- Hands-on experience shaping AI-enabled or data-driven products and workflows, with appropriate consideration for governance, risk, and operating controls.
- Experience working in multidisciplinary pods or product teams spanning business, engineering, data, architecture, operations, and subject-matter experts.
- Experience leading proofs of value, pilots, MVPs, or capability launches and using evidence to make scale-or-stop decisions.