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Technology - Data Management & Strategy Senior Life Sciences Sector
The opportunity
We are seeking an experienced forecasting professional with over 3 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 experience in commercial analytics strategic/financial forecasting and preferably demand planning/supply chain forecasting.
In this role you will design and apply comprehensive methods practices policies tools and processes to govern and control the entire lifecycle of data assets. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps for implementation. Your understanding of business strategy in connection with the value of data at scale will be crucial.
Your key responsibilities
In this pivotal role you will:
- Drive continuous improvement and innovation applying research analysis and best practices to advance processes and solutions.
- Design and implement data governance frameworks that align with business objectives.
- Collaborate with stakeholders to build analytics solutions that deliver tangible business value.
- Conducti maturity assessments to enhance data management capabilities across the organization.
- Travel as required to meet client needs and project demands.
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 of junior resources
- 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.
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.
- Strategic thinking to drive sales business growth and client satisfaction.
- Strong understanding of data privacy and governance principles.
- Experience in enterprise strategy and data management.
- Proficiency in metadata management and ontology design.
- Excellent communication skills with the ability to convey complex information clearly.
- Demonstrated emotional agility and the ability to collaborate in hybrid environments.
Experience:
- A Bachelors degree and 3-6 years of experience in python programming specializing in data handling managing ETL jobs
- 3-6 years of hands-on experience in querying data in cloud platforms such as AWS Azure etc.
- 3-6 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
- 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
- Bachelors or masters degree preferably a business degree.
- 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.
- 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 youll 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 well develop you with future-focused skills and equip you with world-class experiences. Well empower you in a flexible environment and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learnmore.
- We offer a comprehensive compensation and benefits package where youll 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 $105800 to $174800. The base salary range for New York City Metro Area Washington State and California (excluding Sacramento) is $127100 to $198600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education experience knowledge skills and 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 youll decide how much vacation time you need based on your own personal circumstances. Youll 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.
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