The Team

AI & Data is an integrated team of data and AI technologists working across Operate, AI, and Engineering. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across data modernization, data ops, AI, and ML. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte’s AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

AI & Data practitioners work with our clients to: 

• Design and modernize large scale data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
• Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
• Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambitions

Work You’ll Do

Collaborating amongst team members across several geographies, you will configure and implement trusted data management system solutions. Enable curated data foundations through Master Data Management, Data Quality & Lineage, Catalogue, Governance, Data Mesh & Data Virtualization with these technologies: Informatica, Collibra, Stibo, Riversand, Ab Initio, and others. Use your Life Sciences industry experience to design and develop industry focused assets.

As a Senior Consultant in our AI & Data Team, you will bring strong technical, functional and project management solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.

Working within an engagement team, your responsibilities include, among others:

• Managing day-to-day interactions with executive clients, stakeholders, and sponsors
• Managing and delivering components of client engagements focused on identifying, designing, and implementing both technology and creative business solutions for large companies
• Managing small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology
• Creation and development of project scope and schedule. Plan and assign resources to associated tasks and deliverables
• Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
• Managing changes to project scope, project schedule, and project costs to keep the project plan accurate, updated, as defined in the change management plan
• Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project
• Developing and maintaining communication with key project stakeholders and decision makers

Qualifications

Required:

• 3 years of relevant data management consulting or industry experience (master data, data governance, metadata, data architecture, data strategy, data quality, data modeling, data standards)
• 2 years Life Sciences (consulting and/or industry) experience
• 1 years experience leading workstreams within complex technology engagements with resources in multiple locations
• Bachelor’s Degree or 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 with Azure, GCP and/or AWS tools and services
• Understanding of emerging technologies (such as GenAI) and advanced data architectures (ie: Multimodal data management & model design, Data Mesh, Data Fabric, Data Products, etc.)
• Experience with one or more of the following:
• Informatica MDM multi-domain edition,
• Informatica 360 solutions (Customer, Cloud/Customer for Salesforce, Product, Supplier, Reference),
• Informatica Axon,
• Informatica Data Catalog/Enterprise Data Catalog,
• Informatica Data Quality,
• Collibra,
• Alation
• Ability to understand and communicate client strategic business drivers and operational process requirements AND link specific business requirements to Data Management capabilities.
• Ability to recommend Data Management process, governance, organizational and platform models, tool selections and application integration options to clients.
• An advanced degree in the area of specialization