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Data Management & Strategy - Life Sciences - Senior Manager- Consulting - Location OPEN
Data Management & Strategy - Life Sciences - Senior Manager- Consulting - Location OPENEY • Jericho, NY, United States
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Data Management & Strategy - Life Sciences - Senior Manager- Consulting - Location OPEN

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

EY • Jericho, NY, United States
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  • [job_card.full_time]
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Data Management & Strategy – Life Sciences – Senior Manager – Consulting

Location : Anywhere in Country

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

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

The Opportunity

We are seeking an experienced forecasting leader with over 10+ years of experience who is passionate about all things commercial pharma. This role is focused on strategic forecasting and allied capabilities and hence candidate should have deep expertise in commercial analytics, strategic / financial forecasting and preferably demand planning / supply chain forecasting.

Areas of expertise needed : strategic planning, forecasting & benchmarking, market & gap analysis, financial reporting, market entry strategy, commercial analytics & brand development.

As a Senior Manager in Data Management and Strategy, you will lead the charge in technology transformation projects, aligning with strategic objectives to drive desired outcomes. You’ll be the assurance to leadership, managing timelines, costs, and quality standards, while steering both technical and non‑technical teams to deliver top‑notch technology solutions and infrastructure.

You will guide clients through the evolving world of analytics, data governance, and modern data platforms. We’ll rely on you to provide strategic leadership and a unique business perspective on how data and analytics can improve operations, increase agility, and drive transformation.

In this role, you will design and apply comprehensive methods and practices to govern the entire lifecycle of data assets, ensuring their protection and monetization. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them, all while aligning data strategies with business objectives.

This is a high‑growth, high‑visibility role with significant opportunity to shape digital and data strategies across the oil & gas sector.

Your 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.

Overall Delivery

  • Lead delivery of large client engagements and be accountable for success of the delivery 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 both short‑term and long‑term strategic and operational planning; solve regional and brand‑level analytical challenges using quantitative approaches.
  • Deep understanding of forecasting algorithms such as time‑series forecasting and patient flow; knowledge of 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.
  • Experience with industry‑leading methods of delivery for digital, data and analytic products.
  • Help set and execute governance for engagements including performance scorecards, RACI, risk mitigation, etc.
  • Practice Development

  • Serve as part of a leadership team at EY focusing on all things customer in pharma and helping build the practice to achieve future vision and goals.
  • Contribute actively to points‑of‑view, POCs, proposals and selling materials to help win and close deals across horizontals and use cases.
  • Identify opportunities where EY can push frontiers for pharma clients in the customer space.
  • Stay up to date with the latest pharma trends and evaluate state‑of‑the‑art technologies / frameworks to drive innovation.
  • Identify and develop new business opportunities within the life sciences domain.
  • Stakeholder Management

  • Foster strong relationships with clients, acting as a trusted advisor and advocate for their success.
  • Collaborate with clients and stakeholders to translate business asks into scalable, operable solutions.
  • Team and People Development

  • Provide leadership and development for direct reports.
  • Recruit, develop, and retain a strategic and operationally capable workforce skilled and knowledgeable in pharma.
  • Effectively manage an agile organization that continuously meets the needs of a changing portfolio.
  • Build an organizational culture that fosters inclusion innovation.
  • Create an environment that fosters professional and career development.
  • Develop and mentor junior team members, fostering a culture of continuous learning and growth.
  • Put together a development plan for team members and help plan career growth and opportunities for other team members.
  • Evaluate and manage performance for leaders and other team members.
  • Skills and Attributes for Success

  • 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.
  • Experience

  • 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 in building statistical forecast models for pharma industry.
  • Exposure to sourcing / automating data pulls using APIs from different platforms.
  • 8+ years of experience in leading report development and design.
  • Pharma forecast data exposure preferred (IQVIA, Kantar, GLOBOCAN). Understanding of forecasting funnel metrics.
  • Skillsets

  • Visualization tools : Power BI, Spotfire, Power Apps.
  • Data manipulation & analysis : SQL, Excel.
  • Programming languages : Python.
  • Data sources : Familiarity with relational databases, data lakes, and clinical trial data systems.
  • Cloud platforms : AWS (S3, EC2, Lambda), Azure (Data Lake, Azure Functions).
  • Version control : Git, GitHub.
  • Database technologies : MySQL, PostgreSQL, NoSQL.
  • Certifications : AWS Solutions Architect, Microsoft Azure Data Engineer (good to have).
  • Statistical programming : Python, R.
  • Libraries & frameworks : Pandas, NumPy, Scikit‑learn, Statsmodels.
  • Machine learning : supervised and unsupervised learning, model evaluation.
  • To Qualify for the Role, You Must Have

  • A bachelor’s degree required; Master’s degree preferred in a quantitative or technical field.
  • 8+ years of experience in 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, and operating constraints.
  • Good communication skills, both written and oral, ability to make impactful presentations.
  • A trusted advisor to clients, guiding them through the entire customer transformation journey.
  • 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.
  • Ideally, You’ll Also Have

  • A proactive approach to identifying and solving client issues.
  • Excellent communication and leadership skills to guide teams and interact with clients.
  • What We Look For

    are seeking top performers who demonstrate creativity in solving complex problems, have a track record of leading successful projects, and can navigate the intricacies of client and team management. Ideal candidates will bring a blend of technical expertise, strategic thinking, and leadership skills to drive innovation and excellence in our Data Management & Strategy practice.

    What We Offer You

    At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
  • Base salary range in the US : $144,000 to $329,100.
  • Additional benefits include medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • Join us in our team‑led and leader‑enabled hybrid model. Most people in external, client‑serving roles work in person 40‑60% of the time.
  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances.
  • Are You Ready to Shape Your Future with Confidence? Apply Today.

    EY accepts applications for this position on an on‑going basis.

    For those living in California, please click here for additional information.

    EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

    Equal Employment Opportunity

    EY is committed to providing 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, and complies with applicable laws.

    EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans. 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 or email ssc.customersupport@ey.com.

    Seniority Level

  • Mid‑Senior level
  • Employment Type

  • Full‑time
  • Job Function

  • Information Technology
  • Professional Services
  • Industries

  • Professional Services
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