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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. The 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 leading 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 includes leading delivery of large client engagements, being accountable for the success of the delivery with very high quality and timeliness in an evolving business environment. You will develop resource plans and budgets for engagements, ensuring effective engagement economics. You will have strong functional knowledge in brand volume forecasts for both short-term and long-term strategic and operational planning. Additionally, you will solve regional and brand-level analytical challenges using quantitative approaches. You will have a deep understanding of forecasting algorithms, external datasets, manage project budgets, timelines, and resources to ensure successful project delivery. You will advise the team on performing sensitivity analyses to identify opportunities and manage risks, enhancing forecast accuracy. You will have strong digital engineering, data science, and/or data engineering experience working with life science clients. You will have strong knowledge of AI technologies and frameworks, and working experience with industry leading methods of delivery for digital, data, and analytic products. You will help set and execute governance for engagements including performance scorecards, RACI, manage risk/mitigation, etc. Practice development includes serving 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. You will contribute actively to points-of-view, POCs, proposals, and selling materials to help win and close deals across horizontals and use cases. You will identify opportunities where EY can push frontiers for pharma clients in the customer space and stay up to date with the latest pharma trends and evaluate state-of-the-art technologies/framework to drive innovation. You will identify and develop new business opportunities within the life sciences domain. Stakeholder management includes fostering strong relationships with clients, acting as a trusted advisor and advocate for their success. You will collaborate with clients and stakeholders to translate business asks to scalable, operable solutions. Team and people development includes providing leadership and development for direct reports, recruiting, developing, and retaining a strategic and operationally capable workforce skilled and knowledgeable in pharma. You will effectively manage an agile organization that continuously meets the needs of a changing portfolio and build an organizational culture that fosters inclusion and innovation. You will create an environment that fosters professional and career development. In partnership with line management, you will develop the team's expertise in pharma, therapeutic area science, strategic thinking, project management, and leadership. You will develop and mentor junior team members, fostering a culture of continuous learning and growth. You will put together development plans for team members and help plan career growth and opportunities for other team members. You will 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. You will need expertise in project and program delivery methodologies, with the ability to mentor others. You will need strong analytical skills to develop creative solutions for complex problems. You will need leadership skills to manage professional staff and supervise teams effectively. You will need 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, 8+ years of experience in leading report development and design, pharma forecast data exposure preferred, understanding of concepts and metrics in the forecasting funnel. Skillsets include visualization tools, data manipulation & analysis, programming languages, data sources, cloud platforms, programming languages, DevOps tools, database technologies, certification, statistical programming languages, libraries & frameworks, data manipulation tools, machine learning techniques. To qualify for the role, you must have a bachelor's degree required; a master's degree preferred in a quantitative or technical field with prior consulting experience required. You must have 8 years+ of relevant experience in delivering client engagements across sizes and geographies with deep expertise in the pharma commercial industry. You must have specialized skills in data fabric, data governance, enterprise IT architecture, and other data management disciplines. You must have well-developed business acumen and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints. You must have good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs. You must be a trusted advisor to our clients, guiding them through the entire customer transformation journey, from strategy development to implementation. You must have familiarity with current techno-commercial context and ability to integrate technology thinking into customer solutioning. You must have 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. You'll have excellent communication and leadership skills to guide teams and interact with clients. We look for 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. 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