Sr. Technical Program Manager

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Data Management, SaaSIndustries

Requirements

Candidates should possess 5+ years of Program Management experience in a Professional Services setting, implementing complex technical solutions, along with 5+ years of experience in Public Cloud (AWS, GCP, or Azure) or Enterprise software. They should demonstrate the capability to effectively engage in C-level relationships, in a client-facing role, and possess measurable past performance of efficiently managing the delivery and support of multiple simultaneous projects by leveraging project management tools. Strong collaborative communication and influencing skills are also required.

Responsibilities

The Senior Program Manager will report to the Professional Services team and will be responsible for the management of implementations and services of the Tetra Data Platform for new clients, including overseeing client/internal project kick-off meetings, client update meetings, resource planning, timeline and deliverables management, oversight to financial aspects of services and project closure. They will also manage clients on scope and change requests, project governance, and identify and mitigate risk, working closely with internal and external stakeholders to ensure deliverables are managed to the clients’ expectations.

Skills

Program Management

Project Management

Client Relationship Management

Resource Planning

Timeline Management

Deliverables Management

Financial Oversight

Project Closure

Data Platform Implementation

Continuous Improvement

TetraScience

Cloud platform for scientific data management

About TetraScience

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters

2019Year Founded

$113.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

51-200Employees

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.

Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.

International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.

The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.

TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.

Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.

Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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