Engagement Manager, Emerging BioPharma (EBP) Analytics
About this opportunity
To be considered for this role, you must currently reside in the country the role is posted in.
This opportunity has the potential to be remote for a strong candidate that is not located near our Boston or San Francisco office. However, there is a very strong preference for someone that is able to go into the Boston or SF office for in personal team collaboration and client meetings.
Overview:
The Emerging BioPharma (EBP) Analytics team delivers data-driven analytical solutions that help life sciences commercial teams make better decisions, with deep expertise in oncology, rare disease, and specialty markets. By combining a strong track record in specialty commercial solutions with IQVIA’s broad commercial analytics capabilities, and by increasingly applying AI-enabled tools and workflows, the team is positioned for growth and expanded capacity to support clients in an increasingly competitive environment.
As an Engagement Manager, you will lead multiple consulting projects of varying complexity, ensuring high-quality, on-time, and on-budget delivery for our life sciences clients. You will also drive new business development by strengthening existing client relationships, identifying follow-on opportunities, and helping shape new offerings, including AI-enabled analytics solutions.
Primary Responsibilities:
Manages onshore and offshore project teams in the design, development, and delivery of client solutions.
Leads the team in reviewing and analyzing client requirements; challenges assumptions and develops and prices proposals that ensure profitability and client satisfaction with limited senior management input.
Manages proposal preparation and revisions, ensuring overall bid integrity.
Develops project plans with clear timelines and deliverables, and leads projects from kickoff to successful on-time, on-budget completion with limited senior management guidance.
Identifies issues early and recommends improvements and alternative solutions to resolve them.
Serves as the key day-to-day point of contact for clients.
Shapes the storyline and provides senior-level input on client reports and presentations, ensuring findings are clearly communicated and translated into actionable recommendations.
Identifies and develops new business opportunities, including follow-on work and new leads.
Champions the use of AI, including generative AI tools such as Microsoft Copilot, to accelerate analysis, improve quality, and increase team efficiency across the project lifecycle, from proposal development and data exploration to insight generation and deliverable creation.
Ensures AI-assisted work is reviewed and validated by the team and complies with IQVIA policies on data privacy, security, client confidentiality, and responsible AI use.
Follows up with clients after project completion to ensure satisfaction and identify opportunities for continued partnership.
Continuously strengthens subject matter expertise through on-the-job experience, conferences, symposiums, and other professional knowledge-sharing forums, including staying current on emerging AI capabilities and their applications in life sciences.
Mentors and coaches team members, sharing subject matter expertise to elevate our capabilities in delivering world-class client solutions.
Qualifications:
8–12 years of related experience, including consulting within the life sciences industry (required).
Bachelor's degree or equivalent experience required.
Excellent project management and relationship-building skills.
In-depth understanding of IQVIA data assets and core offerings, or comparable syndicated healthcare data (e.g., prescription, medical claims, and EMR data).
Collaborative team player who works effectively across the organization to accomplish shared goals.
Proven ability to build consultative relationships with senior managers and executives in the life sciences industry.
Ability to manage multiple projects, balance competing priorities, and deliver on tight deadlines.
Knowledge of consulting methodologies, tools, and techniques relevant to commercial analytics.
Strong awareness of key issues and current developments in the life sciences industry.
Excellent presentation, communication, and client-influencing skills.
Established professional network and referral contacts.
Hands-on experience using AI and generative AI tools (e.g., Microsoft Copilot or similar) to improve productivity, analysis, and deliverable quality; familiarity with AI/ML applications in commercial analytics is a plus.
Sound judgment in applying AI responsibly, including critically validating AI-generated outputs and protecting sensitive client and patient data.
Subject matter expertise and project management skills to effectively manage projects across multiple therapeutic areas.
Ability to travel as needed for client support.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is $106,100.00 - $295,400.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 241 comparable Manager Data & Digital roles across 56 biopharma companies.
Salary context
87 of 241 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 241 comparable roles
+ 25 more countries
Seniority mix
241 of 241 peers have a known seniority level
Therapeutic area mix
19 of 241 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.