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Job Description Overview: Designs, develops, implements and operates highly complex data pipelines, data products and data management solutions across modern cloud, warehouse and lakehouse platforms. Education and Experience Required: Associate's degree and a minimum of 7 years' systems analysis and/or application development work experience or Bachelor's degree and a minimum of 5 years' systems analysis and/or application development work experience.

YEAR

M&T Bank Corp

Lead Data Engineer

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Join our team of strategic advisers and architects, differentiated by our industry depth to collaborate with leading solution providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable heart-of-the-business solutions. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Deloitte Touche Tohmatsu Ltd

Healthcare Supply Chain & Data Analytics, Strategy, Growth and Transformation, Consultant

Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients; Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows; Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases; Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards; Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases; Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes; Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases; Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams; Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps; Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.

PwC’s accounting practice originated in London well over a century ago. As times changed and PwC expanded worldwide, our commitment to clients—like you—never wavered. With us, you’re always supported by a global network of more than 223,000 people in 157 countries with one goal: to help your business thrive.

PwC’s professional services include audit and assurance, tax and consulting that cover such areas as cybersecurity and privacy, human resources, deals and forensics. We help resolve complex issues and identify opportunities across these industries.

Let’s combine your ​aspirations with our world-class capabilities to achieve your goals.

Applied AI Health Data System Engineer-Senior Manager

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PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations.

Data Governance- Manager

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy .

Data Strategy-Manager

Albany, NY; Albuquerque, NM; Ashburn, VA; Atlanta, GA; Austin, TX; Baltimore, MD; Baton Rouge, LA; Bentonville, AR; Birmingham, AL; Boise, ID; Boston, MA; Boulder, CO; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dallas, TX; Denver, CO; Des Moines, IA; Detroit, MI; El Segundo, CA; Fort Worth, TX; Ft Lauderdale, FL; Greenville, SC; Harrisburg, PA; Hartford, CT; Houston, TX; Indianapolis, IN; Irvine, CA; Jackson, MS; Jacksonville, FL; Kansas City, MO; Knoxville, TN; Las Vegas, NV; Lincoln, NE; Los Angeles, CA; Louisville, KY; McLean, VA; Melville, NY; Memphis, TN; Miami, FL; Milwaukee, WI; Minneapolis, MN; Montvale, NJ; Morristown, NJ; Nashville, TN; New Orleans, LA; New York, NY; Oklahoma City, OK; Omaha, NE; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Portland, OR; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; Sacramento, CA; Salt Lake City, UT; San Antonio, TX; San Diego, CA; San Francisco, CA; Santa Clara, CA; Seattle, WA; Shreveport, LA; St Louis, MO; Stamford, CT; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Washington, DC; Winston-Salem, NC. Demonstrated deep knowledge and hand-on experience in designing and implementing end-to-end data solutions across cloud data platforms across all project phases, with hands-on expertise with the Azure data stack, including Databricks, Unity Catalog.

KPMG International Cooperative

Manager, Data Solutions Delivery

Albany, NY; Ashburn, VA; Atlanta, GA; Austin, TX; Baltimore, MD; Baton Rouge, LA; Bentonville, AR; Birmingham, AL; Boise, ID; Boston, MA; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dallas, TX; Des Moines, IA; Detroit, MI; Fort Worth, TX; Ft Lauderdale, FL; Greenville, SC; Harrisburg, PA; Hartford, CT; Houston, TX; Indianapolis, IN; Jackson, MS; Jacksonville, FL; Kansas City, MO; Knoxville, TN; Lincoln, NE; Louisville, KY; McLean, VA; Melville, NY; Memphis, TN; Miami, FL; Milwaukee, WI; Minneapolis, MN; Montvale, NJ; Morristown, NJ; Nashville, TN; New Orleans, LA; New York, NY; Omaha, NE; Orlando, FL; Philadelphia, PA; Pittsburgh, PA; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; Shreveport, LA; St Louis, MO; Stamford, CT; Tallahassee, FL; Tampa, FL; Virginia Beach, VA; Washington, DC; Winston-Salem, NC. Strong visual communication, presentation, facilitation, storytelling, analytical, and problem-solving capabilities with a user-centered design mindset, ability to work effectively in ambiguous environments and rapidly iterate from concept through prototype, experience with tools such as Figma, Miro, Power Platform, or similar design and collaboration platforms preferred, and familiarity with Agile, product development, or human-centered design practices preferred.

Data Architect Jobs in Buffalo, NY

Lead Data Engineer M&T Bank Corp

Healthcare Supply Chain & Data Analytics, Strategy, Growth and Transformation, Consultant Deloitte Touche Tohmatsu Ltd

Applied AI Health Data System Engineer-Senior Manager PwC

Data Governance- Manager PwC

Data Strategy-Manager PwC

Manager, Data Solutions Delivery KPMG International Cooperative

Senior Associate, Product & Solution Design KPMG International Cooperative

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