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Technology - Data Management & Strategy Senior Manager Life Sciences Sector

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 include 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 include:

• 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 includes:

• 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.
• 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 includes:

• 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 includes:

• 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 includes:

• 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.
• 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.

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 includes:

• 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 the 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 include:

• 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 the 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-