Data Management & Strategy - Life Sciences - Senior Manager- Consulting - Location OPEN

Role Overview

Technology – Data Management & Strategy – Senior Manager – Life Sciences Sector

Location : Anywhere in Country

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Key Responsibilities

Exercise judgment in selecting methods and techniques for obtaining results.

Define and execute the analytics and data governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements.

Develop and implement robust data governance frameworks, including policies, data stewardship models, roles, and accountability across the organization.

Oversee the delivery of technology projects, ensuring adherence to methodologies like Agile and Waterfall, and mentoring team members.

Drive continuous improvement and innovation, applying research, analysis, and best practices to advance processes and solutions.

Manage complex technical initiatives, providing expert guidance, resolving issues, and achieving performance objectives across client service, risk management, and team development.

Engage actively with clients, leading workstreams, and identifying opportunities to expand services.

Spearhead RFP responses and manage engagement economics, including resource planning and budgeting.

Travel as required to meet client needs and project demands.

Lead delivery of large client engagements, being accountable for success with very high quality and timeliness in an evolving business environment.

Develop resource plans and budgets for engagements, ensuring effective engagement economics.

Strong functional knowledge in brand volume forecasts for short-term and long-term strategic and operational planning; solve regional and brand-level analytical challenges using quantitative approaches.

Deep understanding of forecasting algorithms (time series forecasting, patient flow); external datasets (e.g., IQVIA, Kantar, Komodo).

Manage project budgets, timelines, and resources to ensure successful project delivery.

Advise team on performing sensitivity analyses to identify opportunities and manage risks, enhancing forecast accuracy.

Strong digital engineering, data science and / or data engineering experience working with life science clients.

Strong knowledge of AI technologies and frameworks; working experience with industry leading methods of delivery for digital, data and analytic products.

Help set and execute governance for engagements including performance scorecards, RACI, manage risk / mitigation etc.

Qualifications & Experience

Proven ability to construct and direct technology projects in line with organizational goals.

Expertise in project and program delivery methodologies, with the ability to mentor others.

Strong analytical skills to develop creative solutions for complex problems.

Leadership skills to manage professional staff and supervise teams effectively.

Strategic thinking to drive sales, business growth, and client satisfaction.

A bachelor’s degree required; Master’s degree preferred in a quantitative or technical field (e.g., statistics, computer science, engineering, mathematics) with prior consulting experience required.

8+ years of relevant experience delivering client engagements across sizes and geographies with deep expertise in Pharma commercial industry.

Specialized skills in Data Fabric, Data Governance, Enterprise IT Architecture, and other data management disciplines.

Well-developed business acumen and strong problem‑solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints.

Good communication skills both written and oral; ability to make impactful presentations & expertise at using Excel & PPTs.

A trusted advisor to our clients, guiding them through the entire customer transformation journey, from strategy development to implementation.

Familiarity with current techno‑commercial context and ability to integrate technology thinking into customer solutioning.

Excellent problem‑solving skills and ability to scale engagements at will.

8+ years of experience in python programming specializing in data handling, managing, ETL jobs.

8+ years of hands‑on experience in querying data in cloud platforms such as AWS, Azure, etc.

8+ years of experience building statistical forecast models for the pharma industry.

Exposure to sourcing / automating data pulls using APIs from different platforms (e.g., Evaluate Pharma, PriceCentriq).

8+ Years of experience leading report development and design.

Pharma forecast data exposure preferred (e.g., IQVIA MIDAS, KANTAR, GLOBOCAN).

Understanding of concepts and metrics in forecasting funnel (incidence, prevalence, other epi metrics, units, patients, dosage, line of therapy).

Visualization Tools : Power BI, Spotfire, Power Apps.

Data Manipulation & Analysis : SQL, Excel.

Programming Languages : Python, R.

Data Sources : Familiarity with relational databases, data lakes, and clinical trial data systems.

Cloud Platforms : AWS (S3, EC2, Lambda), Azure (Data Lake, Azure Functions).

DevOps Tools : Jenkins, Git, GitHub (good to have).

Database Technologies : MySQL, PostgreSQL, NoSQL databases.

Certification in AWS Solutions Architect / Microsoft Azure Data Engineer (good to have).

Libraries & Frameworks : Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret.

Machine Learning Techniques : Supervised and unsupervised learning, model evaluation (cross-validation, ROC curves).

Proactive approach to identifying and solving client issues; excellent communication and leadership skills to guide teams and interact with clients.

Compensation & Benefits

Base salary range for all geographic locations in the US : $144,000 – $329,100.

Base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) : $172,800 – $374,000.

Performance‑based compensation and recognition for contributions to business value.

Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Hybrid work model : external, client‑serving roles expected to work together in person 40–60% of the time over the course of an engagement, project or year.

Flexible vacation policy allowing personal scheduling of time off; designated EY Paid Holidays, Winter / Summer breaks, Personal / Family Care, and other leaves of absence.

Equal Opportunity Statement

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity / expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.

Position Information

Seniority level : Mid‑Senior level

Employment type : Full‑time

Job function : Information Technology

Industry : Professional Services

Next Steps

EY accepts applications for this position on an on‑going basis. If you are ready to shape your future with confidence, apply today.

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