Data science manager • berkeley ca
Lead the end-to-end delivery of enterprise data platform projects from planning through implementation.Manage cross-functional teams including data engineers, architects, developers, QA, and busine... Show more
Clients need a single point of contact who actually understands hardware, not just a relationship manager who has to relay every technical question.Projects span hardware deployment, structured cab... Show more
We are hiring Vehicle Operators to support a growing autonomous driving program focused on real-world data collection and testing.In this role, you will operate test vehicles on assigned routes, he... Show more
Abbott is a global healthcare leader that helps people live more fully at all stages of life.Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses an... Show more
Nuclear Science Division Director.Lawrence Berkeley National Laboratory is seeking a dynamic scientific leader with an international reputation and outstanding record of scientific accomplishment t... Show more
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Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of bet... Show more
Role Overview** Mercor is partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real-world data sc... Show more
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Technical Project Manager (Data Governance).Location: Oakland, CA Hybrid (3X Onsite per week) Long Term Contract W2 / C2C.Position Details: We are seeking a highly experienced and results-driven ... Show more
Grocery Outlet Inventory Data Specialist.Touching lives by being the first choice for bargain-minded consumers in the U.Achievement, Diversity, Entrepreneurship, Family, Fun, Integrity & Service.Ou... Show more
Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of bet... Show more
Manager, Commercial Operations & Data Management, Life Sciences.Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic ins... Show more
In collaboration with clinical and project teams of the company, this role provides support for the design, planning and development of clinical narratives or other associated documents in the clin... Show more
Principal Program Manager Privacy Product & Data Innovation.The Principal Program Manager Privacy Product & Data Innovation serves as a high-impact individual contributor within the Privacy organ... Show more
Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies again... Show more
The average salary range is between $ 135,004 and $ 209,465 year , with the average salary hovering around $ 160,000 year .
Lead the end-to-end delivery of enterprise data platform projects from planning through implementation.
Manage cross-functional teams including data engineers, architects, developers, QA, and business stakeholders.
Coordinate implementation of modern data platforms and data management solutions.
Track project scope, timelines, budgets, risks, and dependencies while ensuring successful execution.
Facilitate Agile ceremonies and manage project delivery using Agile methodologies.
Partner with business and technical stakeholders to gather requirements and prioritize deliverables.
Ensure projects follow enterprise governance, quality, security, and compliance standards.
Drive communication across leadership teams and provide regular project status updates.
Support continuous process improvement and adoption of data engineering best practices.
7+ years of Technical Project Management experience delivering enterprise data initiatives.
Proven experience leading cloud data platform implementation projects.
Strong understanding of:
Experience managing Agile software development projects.
Excellent stakeholder management and communication skills.
Ability to coordinate multiple technical teams and complex project dependencies.
Experience with one or more of the following technologies:
Experience supporting enterprise organizations within highly regulated industries, such as:
