Senior #Architect #Machine Learning #NLP - San Francisco, CA

#artificialintelligence 

Take the technical lead on client engagements from initial presentations through implementations Contribute to the overall strategy and goal development for Machine Learning/ RPA automation product Educate lines of business/services on value afforded by automation and assist with intake process of new use cases Create product roadmap to support goals, sequence of'bots'/ 'builds' and recommend go-live plan Evaluate total automation opportunities across North America Prepare materials for tech/dev, LOB and stakeholder meetings, including but not limited to measurements against KPIs, status updates, and PowerPoint presentations Collaborate with internal partners. You will be exceptional at developing and nurturing relationships with key internal stakeholders in support all of our client's lines of business. Create product roadmap to support goals, sequence of'bots'/ 'builds' and recommend go-live plan You will be exceptional at developing and nurturing relationships with key internal stakeholders in support all of our client's lines of business. Ability to work independently with directional guidance from leadership An ability to meet commitments, build consensus, negotiate resolutions, and garner respect from other teams Experience with agile product management Excellent presentation skills, comfortable presenting to senior leadership Able to sell the value proposition of machine learning/ RPA automation to all Commercial LOBs Strong attention to detail, combined with ability to see and explain the big picture Ability to deal with ambiguity, change, and shifting priorities Ability to manage and prioritize multiple projects simultaneously Ability to deliver intent independently and own end-to-end process from intent creation to delivery High level understanding of machine learning/ RPA automation capabilities Good understanding of various underlying technologies used in RPA such as Artificial Intelligence, Cognitive Computing, Machine Learning, Pattern Matching, Analytics etc. Experience in evaluating various technology products and developing expertise in underlying technology and architecture Certification or training in PMP, PMI-ACP, Scaled Agile Framework (SAFe), Lean Software Development, Scrum and/or Six Sigma Microsoft Office, 365, SharePoint & PowerPoint'guru' Good understanding of various underlying technologies used in RPA such as Artificial Intelligence, Cognitive Computing, Machine Learning, Pattern Matching, Analytics etc.