Erik Widman, Ph.D.
AeroLeads people directory · profile

Erik Widman, Ph.D. Email & Phone Number

Executive Director Machine Learning Engineering at CVS Health
Location: Chicago, Illinois, United States 11 work roles 6 schools
2 work emails found @hellofresh.de LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails

Work email e****@hellofresh.de
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Executive Director Machine Learning Engineering
Location
Chicago, Illinois, United States

Who is Erik Widman, Ph.D.? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Erik Widman, Ph.D. is listed as Executive Director Machine Learning Engineering at CVS Health, based in Chicago, Illinois, United States. AeroLeads shows a work email signal at hellofresh.de and a matched LinkedIn profile for Erik Widman, Ph.D..

Erik Widman, Ph.D. previously worked as Lead Director Machine Learning Engineering at Cvs Health and Adjunct Professor - MBAi Program at Northwestern University. Erik Widman, Ph.D. holds Doctor Of Philosophy (Ph.D.), Medical Technology from Kth Royal Institute Of Technology.

Company email context

Email format at CVS Health

This section adds company-level context without repeating Erik Widman, Ph.D.'s masked contact details.

*@hellofresh.de
71% confidence

AeroLeads found 2 current-domain work email signals for Erik Widman, Ph.D.. Compare company email patterns before reaching out.

Profile bio

About Erik Widman, Ph.D.

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

Listed skills include Medical Devices, Management, Research, Medical Research, and 46 others.

Current workplace

Erik Widman, Ph.D.'s current company

Company context helps verify the profile and gives searchers a useful next step.

CVS Health
Cvs Health
Executive Director Machine Learning Engineering
Chicago, IL, US
AeroLeads page
11 roles

Erik Widman, Ph.D. work experience

A career timeline built from the work history available for this profile.

Executive Director Machine Learning Engineering

Chicago, Il, Us

Lead Director Machine Learning Engineering

Current

Woonsocket, 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.

Dec 2023 - Present

Adjunct Professor - Mbai Program

Current

Evanston, 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.

Sep 2023 - Present

Data Product Management Director, Ml Solutions

Berlin, 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).

Jan 2022 - Feb 2023

Ai Senior Product Manager

Dublin 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.

Apr 2019 - Jan 2022

Ai Product Owner | Consultant

Chicago, Il, Us

Leveraged 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.

Dec 2017 - Apr 2019

Mentor - Chicago Inovation Mentors

Chicago, 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

Aug 2017 - Dec 2018

Product Manager | Researcher

Stockholm, 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

Feb 2012 - Dec 2016

President & Founder

The Musik Group

• 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

Jan 2010 - Jan 2012

Sr. Electrical Engineer

Minneapolis, 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

Jan 2006 - Jan 2010

Electrical Engineering Intern

Northridge, Ca, Us

• Contributed to hardware design of a digital audio signal processing system. • Designed circuits including user interface

May 2004 - Aug 2004
6 education records

Erik Widman, Ph.D. education

Doctor Of Philosophy (Ph.D.), Medical Technology

Kth Royal Institute Of Technology

Doctor Of Philosophy (Ph.D.), Medical Science

Karolinska Institutet

Education record

Columbia University

Master Of Science (M.Sc.), Electrical And Electronics Engineering

University Of Notre Dame

Education record

Mayo Clinic Alix School Of Medicine

Bachelor'S Degree, Electrical And Electronics Engineering

Western Michigan University
FAQ

Frequently asked questions about Erik Widman, Ph.D.

Quick answers generated from the profile data available on this page.

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 CVS Health?

Erik Widman, Ph.D. is listed as Executive Director Machine Learning Engineering at CVS Health.

What is Erik Widman, Ph.D.'s email address?

AeroLeads has found 2 work email signals at @hellofresh.de for Erik Widman, Ph.D. at CVS Health.

Where is Erik Widman, Ph.D. based?

Erik Widman, Ph.D. is based in Chicago, Illinois, United States while working with CVS Health.

What companies has Erik Widman, Ph.D. worked for?

Erik Widman, Ph.D. has worked for Cvs Health, Northwestern University, Hellofresh, Accenture, and Solstice.

How can I contact Erik Widman, Ph.D.?

You can use AeroLeads to view verified contact signals for Erik Widman, Ph.D. at CVS Health, including work email, phone, and LinkedIn data when available.

What schools did Erik Widman, Ph.D. attend?

Erik Widman, Ph.D. holds Doctor Of Philosophy (Ph.D.), Medical Technology from Kth Royal Institute Of Technology.

What skills is Erik Widman, Ph.D. known for?

Erik Widman, Ph.D. is listed with skills including Medical Devices, Management, Research, Medical Research, Leadership, Strategy, Project Management, and Consulting.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.