Erik Widman, Ph.D. Email and Phone Number
Erik Widman, Ph.D. work email
- Valid
- Valid
- Valid
Erik Widman, Ph.D. personal email
- Valid
I am a hands-on technology leader specializing in data science, Gen AI, and taking AI products from 0 to 1. Throughout my career, I have built successful engineering, research, and product teams by providing a clear vision, enabling positive creative environments, and providing empathetic leadership. My favorite products are those that create simple user experiences for complex problems. I've built GenAI applications, ML models, MLOps infrastructure platforms, dashboards, mobile apps, and APIs for consumer-facing products within CPG, financial services, agriculture, manufacturing, insurance, meal kits, and healthcare, working with both fast-paced startups and F100 companies.Within machine learning, I've worked with Gen AI, LLMs, MLOps, Computer Vision, NLP/NLU, and deep learning to increase revenue, save cost, and improve user experiences. I create clarity for ambiguous problems while creating amazing products that deliver business impact.Machine Learning Leadership Competencies- Strategic vision for AI/ML innovations and enterprise adoption- Leadership in designing, deploying, and scaling enterprise-level ML and AI systems- Driving alignment between technical ML strategies and business objectives- Executive communication: translating ML concepts for C-suite impact- Building and mentoring high-performing ML teams- Operational excellence through OKRs, KPI frameworks, and metrics- Fostering a culture of innovation and entrepreneurial thinking- Leading organizational transformation for AI adoption- Advocating for ethical AI practices and governance- Collaborating with engineering, product, and business teams on ML solutions- Expertise in defining metrics to measure ML ROI- Resolving cross-functional conflicts in AI/ML projectsTech skills Databricks, AWS Certified Machine Learning Specialty Certification, AWS cloud practitioner certification, Artificial Intelligence, Python, SQL, Kubernetes, Docker, Git, Pandas, Numpy, Spark, Airflow, Prefect, GCP, SQL, JIRA, Agile, Scrum, G-suite, Jupyter Notebook, Data Analysis, Statistics, A/B Testing, Hypothesis Testing, Databases, System Architecture, Advanced Mathematics, Data Lake, Data Warehouse, Data Lakehouse, OpenAI, Huggingface, Langchain, Langkit, DuckDB, DaskMachine Learning SkillsLLM, MLOps, Feature Store, Recommendations, Embeddings, Deep Learning, NLP, Topic Modeling, Voice AI, Unsupervised Learning, Boosted Trees, Computer Vision, Object detection, Fraud Detection, classification models, regression, Tecton, Feature Store, Spark, Prefect, MLFLow, Evidently, AWS Sagemaker
-
Executive Director Machine Learning EngineeringCvs HealthChicago, Il, Us
-
Lead Director Machine Learning EngineeringCvs Health Dec 2023 - PresentWoonsocket, Ri, Us• Building the world's largest RAG system for knowledge management for CVS Health's 300,000+ employees that will scale to 1M+ documents.• Creating a data lakehouse, analytics, and ML platform to generate insights into productivity and reduce employee inefficiencies.• Developing CVS Health's Gen AI strategy, creating reference architectures, and standardizing tools for accelerating development across the company.• Creating a data and ML platform strategy and implementation plan for the Technology Solution Services Center of Excellence.• Hiring cross-functional GenAI, data engineering, and ML teams. Creating agile cross-squad processes to maximize team velocity. -
Adjunct Professor - Mbai ProgramNorthwestern University Sep 2023 - PresentEvanston, Il, Us• Served as an Adjunct Professor at McCormick School of Engineering, creating the MBAI 417 Data & Data Intensive Systems curriculum within Northwestern's prestigious MBAi program.• Formulated and delivered a comprehensive 10-class course covering essential topics such as data engineering, SQL, data pipelines, PySpark, exploratory data analysis (EDA), feature engineering, data architecture, data strategy, data quality, and an in-depth exploration of the data engineering lifecycle. -
Data Product Management Director, Ml SolutionsHellofresh Jan 2022 - Feb 2023Berlin, Berlin, De• Built HelloFresh's AI product management team (5 PMs), created processes for prioritization, backlog management, continuous discovery, data science strategy frameworks, product frameworks, OKRs, KPIs, roadmaps, quarterly planning, AI training paths for PMs and coach the PM team. • Reduced model productionization engineering time by 80%, which translates to $1M incremental revenue by creating an MLOps platform to standardize model production and enabled new functionality such as data quality, experiment tracking, and model monitoring• Reduced model development time by 60%, which translates to $500k incremental revenue by creating a feature store to share the most important model features across the company• Increased incremental revenue $18M by reducing customer churn 1.5% by launched menu and marketplace item recommendations for the US territory• Worked with data science teams and HelloFresh leadership to define defining roles and responsibilities for data science teams and set priorities across organization. • Gave company-wide internal product and data science presentations to train the product and data science communities and grow junior colleagues. • Presented my team's MLOps platform work externally in online presentations (PyData Chicago). -
Ai Senior Product ManagerAccenture Apr 2019 - Jan 2022Dublin 2, Ie• Built a 15-member fast-paced innovation team (full-stack engineers, devops Engineers, data scientists, and product managers) from scratch, specializing in AI, ML, computer vision, AR and VR products for F500 companies. • Operated as a startup under the Accenture umbrella that worked with the most exciting technologies on Accenture’s most cutting-edge projects.• Set vision for team, created team structure, defined processes (client engagement, training, conflict resolution, hiring) created client product offerings, set priorities, defined OKRs and KPIs, mentored team members in machine learning, product strategy, UX design, and stakeholder management• Sample product: Reduced PepsiCo’s beverage label QA review time by 60%, which translates to $1.3M annual incremental revenue by deployed a multi-language label verification web app using computer vision and OCR• Worked with full-stack and data science technologies like Node.js, Javascript, React, Python, Sagemaker, AWS, GCP, Azure, knowledge graphs (Cosmos DB), and SQL. UX design tools include Figma, Adobe XD, and Sketch. -
Ai Product Owner | ConsultantSolstice Dec 2017 - Apr 2019Chicago, Il, UsLeveraged skills in product design to build mobile apps, online portals, APIs, and backend products for a wide range of industries including agtech, insurance, financial services, and pharmaceuticals. Performed qualitative and quantitative customer research, conducted product discovery, competitor analyses, created product visions, user journeys, product roadmaps, OKRs, prioritized backlogs, managed stakeholder expectations, and coached junior product managers. • Automated 45% of customer service questions, which generated $15M in cost savings over 5 years by launching a customer service virtual agent for Discover Card Finacial Services • Helped farmers manage their seasonal farm activities, track critical metrics from your in-field equipment, and visualize agronomic data layers by launching MVP precision farming Mobil app for Case IH. • Performed qualitative and quantitative customer research, conducted product discovery, competitor analyses, created product visions, user journeys, product roadmaps, OKRs, prioritized backlogs, managed stakeholder expectations, coached junior product managers • Became expert at navigating ambiguity in early-stage product development when working with emerging technology. Solstice is a technology consulting company that helps F500 clients with their digital transformations. -
Mentor - Chicago Inovation MentorsMatter Aug 2017 - Dec 2018Chicago, Illinois, Us• Advised a healthcare startup on go-to-market solutions and digital business models• Advising a material science company on go-to-market strategy, branding, and market positioning• CIM is a 6-month, team-based mentoring program focused on science-based ventures. CIM has helped more than 220 early stage, science-based ventures, which cumulatively have raised $200M -
Product Manager | ResearcherKth Royal Institute Of Technology Feb 2012 - Dec 2016Stockholm, Se• Built a 5-person research team specialized in cardiovascular image processing techniques.• Managed four global cross-functional research projects, including timeline, budget, staff, risk, data analysis, reporting, publishing, while collaborating with the Mayo Clinic and Columbia University• Created ultrasound imaging products with input from internal/external stakeholders (physicians, patients), created product & research roadmaps, published 4 peer-reviewed highly cited articles (100+ citations)• Expertise in programming, image processing, ultrasound, experimental design, mechanical testing, physiology, medicine, clinical trials• Managed ultrasound lab, created SOPs, documented best practices -
President & FounderThe Musik Group Jan 2010 - Jan 2012• Established a music licensing company and created TV advertisement music for Microsoft, Fruit of the Loom, Forever 21, Converse, Quicksilver Clothing, Shoe Carnival, Red Bull, MTV, Forever 21, Hewlett Packard.• Generated $250k+ revenue through TV, radio, video games, and online music licensing by launching strategic music licencing partnerships
-
Sr. Electrical EngineerMedtronic Jan 2006 - Jan 2010Minneapolis, Mn, Us• Developed wireless recharge systems for neurostimulators (hardware and software): design, simulation, prototyping, implementation• Project management: specifications, timelines, development plans, risk management, reported to design teams, FDA documentation• Worked cross-functionally with marketing, engineering, and human factors performing customer/patient interviews and translating insights from surveys into product design• Other work included: managed team of junior engineers, device testing, fixing bugs, documentation, performing case studies -
Electrical Engineering InternCrown Audio May 2004 - Aug 2004Northridge, Ca, Us• Contributed to hardware design of a digital audio signal processing system. • Designed circuits including user interface
Erik Widman, Ph.D. Skills
Erik Widman, Ph.D. Education Details
-
Kth Royal Institute Of TechnologyMedical Technology -
Karolinska InstitutetMedical Science
-
Columbia University
-
University Of Notre DameElectrical And Electronics Engineering
-
Mayo Clinic Alix School Of Medicine
-
Western Michigan UniversityElectrical And Electronics Engineering
Frequently Asked Questions about Erik Widman, Ph.D.
What company does Erik Widman, Ph.D. work for?
Erik Widman, Ph.D. works for Cvs Health
What is Erik Widman, Ph.D.'s role at the current company?
Erik Widman, Ph.D.'s current role is Executive Director Machine Learning Engineering.
What is Erik Widman, Ph.D.'s email address?
Erik Widman, Ph.D.'s email address is dr****@****ail.com
What schools did Erik Widman, Ph.D. attend?
Erik Widman, Ph.D. attended Kth Royal Institute Of Technology, Karolinska Institutet, Columbia University, University Of Notre Dame, Mayo Clinic Alix School Of Medicine, Western Michigan University.
What skills is Erik Widman, Ph.D. known for?
Erik Widman, Ph.D. has skills like Medical Devices, Management, Research, Medical Research, Leadership, Strategy, Project Management, Consulting, Business Strategy, Strategic Planning, Research And Development, Management Consulting.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial