Washington Staffing
Data Management & Strategy - Life Sciences - Senior Manager- Consulting - Locati
Washington Staffing, Seattle, Washington, us, 98127
Technology - Data Management & Strategy Senior Manager Life Sciences Sector
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. 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 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. Oversee the delivery of technology projects, ensuring adherence to methodologies like Agile and Waterfall. Drive continuous improvement and innovation. Manage complex technical initiatives. Engage actively with clients. Spearhead RFP responses and manage engagement economics. Travel as required to meet client needs and project demands. Overall delivery includes: Lead delivery of large client engagements. Develop resource plans and budgets for engagements. Strong functional knowledge in brand volume forecasts. Manage project budgets, timelines, and resources. Advise team on performing sensitivity analyses. Strong digital engineering, data science and/or data engineering experience. Help set and execute governance for engagements. Practice development includes: Serve as a part of a leadership team at EY focusing on all things customer in pharma. Contribute to points-of-view, POCs, proposals and selling materials. Identify opportunities where EY can push frontiers for pharma clients. Stay up to date with the latest pharma trends. Identify and develop new business opportunities within the life sciences domain. Stakeholder management includes: Foster strong relationships with clients. 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. Effectively manage an agile organization. Build an organizational culture that fosters inclusion and innovation. Create an environment that fosters professional and career development. Develop and mentor junior team members. Put together development plan for team members. Evaluate and manage performance for leaders and other team members. Skills and attributes for success include: Proven ability to construct and direct technology projects. Expertise in project and program delivery methodologies. Strong analytical skills. Leadership skills. Strategic thinking. Experience includes: 8+ years of experience in python programming. 8+ years of experience in querying data in cloud platforms. 8+ years of experience in building statistical forecast models. Exposure to sourcing/automating data pulls using APIs. 8+ years of experience in leading report development. Pharma forecast data exposure preferred. Understanding of concepts and metrics in forecasting funnel. 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. Database technologies: MySQL, PostgreSQL, NoSQL databases. Certification in AWS Solutions Architect / Microsoft Azure Data Engineer. Statistical programming languages: Python, R. Libraries & frameworks: Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret. Data visualization tools: Matplotlib, Seaborn, ggplot2. Machine learning techniques: 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 relevant experience in delivering client engagements. Specialized skills in Data Fabric, Data Governance, Enterprise IT Architecture. Well-developed business acumen and strong problem-solving attitude. Good communication skills both written and oral. A trusted advisor to our clients. Familiarity with current techno-commercial context. Excellent problem-solving skills. Ideally, you'll also have: A proactive approach to identifying and solving client issues. Excellent communication and leadership skills. 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 40-6
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. 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 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. Oversee the delivery of technology projects, ensuring adherence to methodologies like Agile and Waterfall. Drive continuous improvement and innovation. Manage complex technical initiatives. Engage actively with clients. Spearhead RFP responses and manage engagement economics. Travel as required to meet client needs and project demands. Overall delivery includes: Lead delivery of large client engagements. Develop resource plans and budgets for engagements. Strong functional knowledge in brand volume forecasts. Manage project budgets, timelines, and resources. Advise team on performing sensitivity analyses. Strong digital engineering, data science and/or data engineering experience. Help set and execute governance for engagements. Practice development includes: Serve as a part of a leadership team at EY focusing on all things customer in pharma. Contribute to points-of-view, POCs, proposals and selling materials. Identify opportunities where EY can push frontiers for pharma clients. Stay up to date with the latest pharma trends. Identify and develop new business opportunities within the life sciences domain. Stakeholder management includes: Foster strong relationships with clients. 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. Effectively manage an agile organization. Build an organizational culture that fosters inclusion and innovation. Create an environment that fosters professional and career development. Develop and mentor junior team members. Put together development plan for team members. Evaluate and manage performance for leaders and other team members. Skills and attributes for success include: Proven ability to construct and direct technology projects. Expertise in project and program delivery methodologies. Strong analytical skills. Leadership skills. Strategic thinking. Experience includes: 8+ years of experience in python programming. 8+ years of experience in querying data in cloud platforms. 8+ years of experience in building statistical forecast models. Exposure to sourcing/automating data pulls using APIs. 8+ years of experience in leading report development. Pharma forecast data exposure preferred. Understanding of concepts and metrics in forecasting funnel. 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. Database technologies: MySQL, PostgreSQL, NoSQL databases. Certification in AWS Solutions Architect / Microsoft Azure Data Engineer. Statistical programming languages: Python, R. Libraries & frameworks: Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret. Data visualization tools: Matplotlib, Seaborn, ggplot2. Machine learning techniques: 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 relevant experience in delivering client engagements. Specialized skills in Data Fabric, Data Governance, Enterprise IT Architecture. Well-developed business acumen and strong problem-solving attitude. Good communication skills both written and oral. A trusted advisor to our clients. Familiarity with current techno-commercial context. Excellent problem-solving skills. Ideally, you'll also have: A proactive approach to identifying and solving client issues. Excellent communication and leadership skills. 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 40-6