Life Sciences Applied AI Manager
Work you’ll do
At Deloitte you will manage and deliver components of client engagements that identify, design, and implement technology and creative business solutions for large companies. Key responsibilities will include:
- Architect, position, design, develop and deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Chatbots, Virtual Assistants, Machine Learning, Computer Vision and Cognitive Services
- Manage teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures
- Formulate planning, budgeting, forecasting, and reporting strategies
- Manage full life cycle implementations
- Develop statements of work and/or client proposals
- Identify business opportunities to increase usability and profitability of information architecture
- Experience with program leadership, governance and change enablement
- Develop and manage vendor relationships
- Lead workshops for client education
- Manage resources and budget on client projects
- Assist and drive the team by providing oversight
The Team
AI & Data
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI&D team leverages the power of data, analytics, robotics, science, and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
- Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
- Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements
Qualifications:
Required:
- 6+ years of analytics work experience
- 3+ years Life Sciences Industry experience
- 2+ years of experience leading and managing project teams
- At least 2 years of experience working with quantitative modeling (design, development & implementation) using 3+ types of algorithm
- 4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
- Demonstrated expertise with one full life cycle analytics engagement across strategy, design, and implementation
- Bachelor’s Degree in Engineering, Mathematics, Empirical Statistics, or 4 years equivalent professional experience
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available.
Preferred:
- Experience architecting, designing, developing, and deploying enterprise solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services
- Demonstrated expertise in at least one of the following: machine learning, deep learning, time-series modeling, propensity and prediction, behavioral nudges, recommenders, anomaly detection, segmentation, AI architecture, AI interface design
- Formal training in one or many of the following: signal processing, optimization, machine learning, linear algebra
- Expertise in at least one functional application preferred (e.g., prediction models, behavioral analytics, etc.)
- Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
- Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
- Experience with Cloud services and ML tools e.g. (AWS, GCP, Azure)
- Familiarity with Scala, Java, C++, or other similar technological support languages
- Javascript experience at User Interface (UI) level
- Strong experience running pursuits
- Ability to communicate complex quantitative analysis in a concise and actionable manner
- Ability to work independently, manage small engagements or parts of large engagements
- Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint) (US Practitioners)
- Strong problem solving and troubleshooting skills with the ability to exercise mature judgement
- An advanced degree in the area of specialization
For individuals assigned and/or hired to work in New York state , Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to New York state and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.A reasonable estimate of the current range is $144,600 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
AI&D24
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