At Deloitte you will support the creation and execution of business strategy, P&L, development, sales enablement, and delivery enablement of an integrated suite of intelligent automation tools and capabilities (Intelliforce IA suite) that will drive value-generating domain-centric solutions (starting with Intelligent Document Processing) for client engagements. Key responsibilities will include:
Work with leaders in the S&A , AI&DO practice and Deloitte Account teams on key intelligent automation needs to continuously refine the go to market strategy, IA product & services roadmap, sales and marketing plan and supporting collateral
Lead functional and technical teams to define and execute key industry solution use cases, features, operating model, sales model, and delivery model for the Intelliforce IA Suite.
Drive internal awareness, adoption and expansion of reusable content assets supporting industry solutions that are aimed that simplification of processes and increased automation in client deployments
Participate in development of winning sales strategies and demand creation by working closely with IA offering Sales and Deloitte Account teams across the intelligent automation spectrum of use cases
Provide solutions including innovative pricing and service level management options, navigating all cost components of the solution; develop statements of work and/or client proposals
Provide thought leadership and participate in client workshops
Position as a trusted advisor to client's decision-makers by establishing credibility and expertise in areas of AI driven Intelligent Automation
Work closely with Deloitte Vendor and Alliance leaders to strengthen partnerships for the Intelliforce IA Suite of capabilities
Day to day coordination on Intelliforce IA Suite product management, marketing, operations, development, sales enablement, and delivery enablement teams
Report on overall P&L of Intelliforce IA Suite including resources and budget
10+ years of relevant work experience
6+ years of experience leading and managing project teams that are globally dispersed
3+ years of experience on AI enabled automation projectsin terms of business management, product management, development, and operations
5+ years of experience in one or more of our focus industry sectors (Life Sciences, Banking, Consumer)
Must possess demonstrable ability to handle intricacies of commercial deal
Bachelor's Degree in applied mathematics, statistics, computer science, data science, electrical engineering, physics, or closely related field
Ability to travel 30% of the time (While 30% is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice)
Experience leading teams working with cloud-based intelligent automation tools, Amazon Web Services/Sagemaker or Microsoft Azure ML or Google Cloud Platform/Tensor Flow
Experience leading teams in ML Operations (MLOps) and deployment of ML models
Experience leading teams with BI Reporting tools such as Tableau, Power BI
Experience of deploying Intelligent Document Processing capabilities: Content extraction and review use cases and technologies across a variety of industry sectors and business domains
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
In-depth theoretical and practical knowledge in a one or more of the select areas from across the intelligent automation spectrum. Preferred examples include:
Supply Chain: Knowledge of operations, manufacturing, quality or operations strategy for pharmaceutical, biotechnology and medical device organizations
Payments: Experience with use cases such as fraud detection, cashierless stores, hyperpersonalized credit scores, enhanced customer service, etc.
Customer: Experience with use cases such as reduce customer churn, accurately price products / services, increase up-sell / cross-sell, reduce service Center call times, etc.
HR: Experience with use cases such as improve workforce / role matching, workforce optimization, increase learning effectiveness, align total rewards by employee type, etc.
IT: Experience with use cases such as optimize infrastructure use, optimize system / application performance, reduce IT security breaches, etc.
Risk: Experience with use cases such as improve safety/standards compliance, improve fraud detection, improve regulatory compliance
Operations: Experience with use cases such as eliminate underperforming SKUs, optimize fleet size and logistics, optimize inventory management
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
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