phData

HQ
Minneapolis, Minnesota, USA
202 Total Employees
Year Founded: 2014

Similar Companies Hiring

Security • Sales • Information Technology • Cybersecurity • Automation
6 Offices
357 Employees
Software • Professional Services • Productivity • Information Technology • Cloud
Chicago, IL
45 Employees
Renewable Energy • Machine Learning • Information Technology • Energy • Automation • Analytics
Austin, TX
234 Employees

Benefits at phData

Financial + Retirement

401(K)

Performance bonus

Office Perks

Company-sponsored outings

Free snacks and drinks

Health Insurance + Wellness

Dental insurance

Disability insurance

Flexible Spending Account (FSA)

Health insurance

Life insurance

Vision insurance

Child Care + Parental Leave

Family medical leave

Professional Development

Job training & conferences

Tuition reimbursement

Vacation + Time Off

Paid holidays

Culture

Remote work program

Search the 13 jobs at phData

Recently posted jobs

Information Technology
As a Principal Solutions Architect, you will manage multiple customer projects, build relationships with client executives, guide clients through complex data challenges, lead SAP data migrations into Enterprise Data Warehouses, and drive SAP S/4HANA upgrades, collaborating closely with cross-functional teams and providing strategic guidance.
3 Days Ago
US
Remote
Information Technology
The Senior Program Manager will lead multiple high-visibility projects using agile methodologies, ensuring alignment across internal teams and key stakeholders. This role involves managing large customer portfolios and nurturing future leaders while maintaining project delivery and efficiency in a fast-paced environment.
Information Technology
As a Machine Learning Solutions Architect, you will design and implement data solutions tailored to customer needs, manage deployment strategies, and collaborate with data scientists to ensure machine learning models are viable and effective in production. You will also provide thought leadership on technology recommendations and oversee the integration of data systems to enhance model performance and business insights.