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Integra LifeSciences

Regenerative medicine, surgical devices provider

Senior Analyst - Investor Relations & Business Development, Artificial Intelligence Enablement

Corporate Finance & FP&APosted on Nov 13
Full-timePrinceton, NJ, USA

About the Job

Requirements

  • A bachelor's degree in Finance, Accounting, Economics, Business, Data Analytics, Engineering, or a related field is required.
  • At least 4 years of relevant experience in finance, investment banking, equity research, corporate development, strategy, consulting, or another analytically rigorous business role is required.
  • Demonstrated experience applying artificial intelligence to financial, strategic, or business problems beyond basic drafting, research, and summarization is required.
  • Strong financial and quantitative skills, including experience with financial modeling and valuation, are required.
  • Ability to synthesize complex financial, market, and strategic information and translate it into clear, actionable insights is required.
  • Strong judgment, including the ability to challenge assumptions, identify unreliable information, and independently validate analytical conclusions, is required.
  • Curiosity and a process-improvement mindset, with an interest in developing better ways to use information, technology, and artificial intelligence, are required.
  • Strong written and verbal communication skills are required.
  • Ability to manage priorities across two functions and work effectively with senior leaders and cross-functional partners is required.

Responsibilities

  • Partner with Investor Relations leadership to develop and apply artificial intelligence-enabled capabilities for investor and analyst sentiment, integrating investor feedback, analyst research, consensus estimates, valuation, peer performance, and competitive developments to provide a timely view of external expectations and sentiment changes.
  • Connect market expectations with financial models, strategic plans, and current-year operating plans to identify gaps between investor expectations and internal plans and capabilities.
  • Combine external sentiment, internal performance expectations, and strategic priorities to identify evolving investor questions, pressure points, areas needing greater clarity, and proof points that can strengthen the investment story.
  • Improve identification and prioritization of current and prospective investors for conferences, roadshows, and other outreach based on ownership, investment profile, interests, and fit with the investment story.
  • Improve earnings preparation, question-and-answer development, investor and analyst meeting preparation, peer analysis, consensus tracking, and post-earnings analysis.
  • Improve access to and analysis of historical messaging, question-and-answer materials, investor feedback, and market intelligence; identify recurring work that can be simplified, automated, or performed more effectively.
  • Partner with Business Development leadership to develop and apply artificial intelligence-enabled capabilities for early-stage opportunity screening by synthesizing company, market, competitive, technology, and available financial information to support initial assessments of strategic fit and attractiveness.
  • Develop repeatable approaches to review and synthesize offering memorandums and other transaction materials, surfacing financial, commercial, market, and strategic information relevant to an initial assessment.
  • Improve processing and analysis of large volumes of diligence information to identify relevant findings, inconsistencies, open questions, and areas requiring deeper review.
  • Improve market landscaping, competitive analysis, and strategic research supporting potential opportunities.
  • Combine artificial intelligence capabilities with traditional financial analysis to improve the speed and depth of opportunity assessment and valuation work.
  • Develop more effective ways to monitor companies, technologies, markets, and other areas of strategic interest.
  • Identify recurring Business Development activities that can be simplified or automated and develop repeatable capabilities that reduce manual work and improve evaluation efficiency.
  • Apply financial, analytical, and business judgment when developing and using artificial intelligence-enabled capabilities.
  • Independently validate artificial intelligence-generated information and analysis before incorporating it into business recommendations or decision support.
  • Stay current on emerging artificial intelligence capabilities and identify practical applications relevant to Investor Relations and Business Development.
  • Partner across both functions to develop repeatable processes that improve the quality, speed, and usefulness of analysis.
  • Protect confidential, financial, and transaction information and follow applicable company policies when using artificial intelligence tools.
  • Exemplify the organization's purpose, vision, and values in daily work and interactions.

Desired Qualifications

  • Healthcare or medical technology experience is preferred.
  • An MBA or other advanced degree is preferred but not required.

About the Company

Integra LifeSciences

Regenerative medicine, surgical devices provider

Integra LifeSciences develops regenerative medicine and medical devices to help tissue repair. Its core products include tissue regeneration scaffolds that are implanted on wounds to provide a temporary matrix for cells to grow, guiding the body’s tissue to replace damaged skin and other tissues, and then integrate into healing. The company differentiates itself through a diversified portfolio that includes neurosurgical devices, wound care products, and specialized surgical instruments obtained through acquisitions, spanning multiple surgical domains. Its goal is to broaden access to regenerative technology and raise standards of care in surgery and tissue repair.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Plainsboro Township, NJ
Founded
1989

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