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EXL

Analyzes business data and runs outsourced operations

Vice President – Management Consultant - Healthcare

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeJersey City, NJ, USA$140k - $180k

About the Job

Requirements

  • At least 10 years of experience in management or technology consulting focused on data, analytics, and AI, ideally within healthcare.
  • Good understanding of data engineering and modern data architecture, including data warehouses and lakes, Medalian architecture, data marts, ETL/ELT, cloud data platforms, data governance, and business intelligence.
  • Proven ability to build and present executive-level decks and hold credible conversations with senior client leaders.
  • Pre-sales experience contributing to proposals, solutioning, estimation, and client pitches.
  • Experience managing client relationships and leading cross-functional delivery teams.
  • Structured problem-solving, storytelling, and written and verbal communication skills.

Responsibilities

  • Act as a trusted advisor to client stakeholders by understanding business objectives, assessing current-state data maturity, and defining target-state strategy and roadmaps.
  • Facilitate executive workshops and discovery sessions, translating business needs into clear, actionable data and AI programs.
  • Build and deliver executive-level presentations, proposals, and steering committee updates that are crisp, insight-led, and decision-oriented.
  • Lead and support client pitches, oral presentations, and proposal responses, including solution storyline, approach, scope, estimates, and pricing inputs.
  • Identify and grow opportunities within existing accounts and develop new relationships in the healthcare market.
  • Partner with sales, delivery, and technology leaders to build repeatable offerings, accelerators, and points of view.
  • Provide solution and quality leadership across engagements, working with delivery leads and engineering teams to keep programs on scope, schedule, and budget.
  • Manage risks, dependencies, and stakeholder expectations, and ensure governance and architectural alignment.
  • Convert successful delivery into client references and follow-on work.
  • Represent the company professionally and credibly in client and industry interactions.
  • Contribute to thought leadership, internal capability building, and mentoring of consultants and analysts.
  • Advise healthcare clients on data modernization, including enterprise data warehouse and data lake transformation and legacy-to-cloud migration.
  • Guide data mart development for line-of-business and domain use cases including underwriting, claims, policy, finance, and actuarial applications.
  • Support cloud modernization by re-platforming data estates on modern cloud data platforms.
  • Guide data governance covering data quality, lineage, cataloguing, ownership, and regulatory readiness.
  • Accelerate business intelligence through faster, trusted self-service analytics and reporting.
  • Identify, design, and deploy AI-enabled use cases on a governed data foundation.

Desired Qualifications

  • Healthcare domain experience across payer, provider, or health services operations.
  • A track record in premium consulting environments, with engagement-leadership discipline and polish in client-facing settings.
  • Exposure to AI or agentic AI use cases in healthcare and AI governance considerations.
  • Familiarity with cloud data platforms and tools such as Snowflake, Databricks, Azure, AWS, or GCP.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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