- $143,310.00 -148,460.00/year*
Innovate. Collaborate. Shine. Lighthouse KPMG's Center of Excellence for Advanced Analytics has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects covering technologies and solutions from AI to optimization and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse. KPMG is currently seeking a Director - ML Pipelines for AI Consultant to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics in the Financial Services group. Responsibilities: Lead workshops, innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and identify machine learning and boarder artificial intelligence solutions; utilize processes and best practices to plan, lead, and execute delivery of artificial intelligence engagements; Work with clients to manage risks, set expectations and ensure successful delivery across different areas (technology, financial services, emerging tech, government agencies ? federal, state and local, and utilities) Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains such as product development, marketing research, supply chain, technology industrial process, and public policy Lead proposal life cycle by working very closely with various KPMG internal teams and helping with responses to RFI and RFP, budgeting time and cost between various internal teams, leading discussions with clients through the proposal process, and demonstrating leadership through the entire process Lead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams and multiple responsibilities using structured approaches for operational excellence; manage expectations, budgets, deliverables, and communicate results to executive level audiences Manage project delivery by tracking and communicating project risks, budget, rates, and launch/closeout activities, including the administration of work papers and collaboration sites; Plan engagement objectives and key deliverables; manage using analytics processes to mitigate risks in data, modeling, validation and delivery Work with clients to discover data sources, and create data requests; lead the ETL process to ingest structured data and annotation processes to enrich unstructured data; Leverage a variety of data sources such as social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data Qualifications: Minimum of ten years of experience leading teams of ten plus data scientists, engineers, and other data & analytics professionals, including working knowledge of modeling (regression, machine learning, feature selection, dimension reduction, validation), data (extracting, preparing, munging, validating), and building analytics pipelines; Minimum of two years of training specific to machine learning and/or artificial intelligence Bachelor's, Master's, or PhD degree from an accredited college/university in a quantitative discipline, such as Computer Science, Engineering, or Mathematics Strong knowledge in design and building of machine learning pipelines, including data extraction, feature engineering from structured and unstructured data; Proficiency in delivering analytics projects using leading processes including skilled knowledge of data discovery, cleaning, model selection, validation, and deployment Broad, versatile knowledge of analytics and data science landscape, combined with strong business consulting acumen, enabling the identification, design, and deployment of optimal machine learning solutions to meet the business objectives and the business constraints; Ability to discuss pros and cons of modeling approaches Proficiency with sophisticated analytics tools and programming languages (SAS, R, Python, Java, Spark, Hadoop, Alteryx, SQL); proficiency with data visualization tools (Tableau, QlikView, and others) Ability to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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