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

Location : Anywhere in Country

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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 in Strategic Planning, Forecasting & Benchmarking, Market & GAP analysis, Financial Reporting, Market Entry Strategy, Commercial Analytics & Brand Development

As a Senior Manager in Data Management & 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

As a Senior Manager in Data Management and Strategy, you will lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. This role offers a unique opportunity to work closely with clients, providing insights and solutions that drive business value. You will be responsible for managing client relationships and engagement delivery, with regular travel requirements to meet client needs.

In this pivotal role, you will :

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 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 (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.

Practice development

Serve as a 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 / framework 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 to 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 and innovation.

Create an environment that fosters professional and career development. In partnership with line management, develop the team's expertise in pharma, therapeutic area science, strategic thinking, project management and leadership

Develop and mentor junior team members, fostering a culture of continuous learning and growth.

Put together 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

To excel in this role, you will need :

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 s 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 e.g. evaluate pharma, pricecentriq

8+ Years of experience in leading report development and design

Pharma forecast data exposure preferred. E.g. Exposure to IQVIA MIDAS, KANTAR, GLOBOCAN

Understanding of Concepts and Metrics in forecasting funnel. E.g. Incidence, prevalence other Epi metrics, Units, patients, dosage, Line of therapy etc.

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)

Programming Languages : Python (Dash, Pandas, NumPy), SQL

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)

Statistical Programming Languages : Python, R

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

Data Manipulation Tools : SQL, Excel

Data Visualization Tools : Matplotlib, Seaborn, ggplot2,

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

To qualify for the role, you must have

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 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 & 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

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

We 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. Learn more .

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. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes 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. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter / Summer breaks, Personal / Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

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.

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