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Remote Data Infrastructure Jobs in Connecticut (NOW HIRING)

ggi

Commercial Analytics Senior Manager

Brookfield, CT · Remote

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Data Infrastructure & Governance * Build and maintain semantic models and data pipelines in ...

ggi

Commercial Analytics Senior Manager

Brookfield, CT · Remote

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Data Infrastructure & Governance * Build and maintain semantic models and data pipelines in ...

ABB

Strategic Marketing Manager, Data Centers

Danbury, CT · On-site +1

$96.40K - $118.40K/yr

... Cary, NC office or full-remote in the United States. This role is contributing to the ... Experience in the data center or digital infrastructure market (hyperscale, colocation, enterprise ...

New

ABB

Strategic Marketing Manager, Data Centers

New Britain, CT · On-site +1

$93.50K - $114.70K/yr

... Cary, NC office or full-remote in the United States. This role is contributing to the ... Experience in the data center or digital infrastructure market (hyperscale, colocation, enterprise ...

New

ABB

Strategic Marketing Manager, Data Centers

Norwalk, CT · On-site +1

$95K - $116.70K/yr

... Cary, NC office or full-remote in the United States. This role is contributing to the ... Experience in the data center or digital infrastructure market (hyperscale, colocation, enterprise ...

New

ABB

Strategic Marketing Manager, Data Centers

Wilton, CT · On-site +1

$97.90K - $120.10K/yr

... Cary, NC office or full-remote in the United States. This role is contributing to the ... Experience in the data center or digital infrastructure market (hyperscale, colocation, enterprise ...

New

ABB

Strategic Marketing Manager, Data Centers

Avon, CT · On-site +1

$93K - $114.10K/yr

... Cary, NC office or full-remote in the United States. This role is contributing to the ... Experience in the data center or digital infrastructure market (hyperscale, colocation, enterprise ...

New

ABB

Strategic Marketing Manager, Data Centers

Bloomfield, CT · On-site +1

$94.40K - $115.90K/yr

... Cary, NC office or full-remote in the United States. This role is contributing to the ... Experience in the data center or digital infrastructure market (hyperscale, colocation, enterprise ...

New

Deloitte

GCP Manager

Stamford, CT · On-site +1

Lead solution design activities across GCP cloud services, infrastructure architecture, and data ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

GCP Manager

Hartford, CT · On-site +1

Lead solution design activities across GCP cloud services, infrastructure architecture, and data ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

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What are the key skills and qualifications needed to thrive as a Remote Data Infrastructure Engineer, and why are they important?

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.
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Remote Data Infrastructure jobs near you

Senior Product Manager, Life Sciences Data Products

Beacon Talent

Stamford, CT • On-site, Remote

$152.83K - $158.71K/yr

Full-time

Posted 24 days ago

Job description

Senior Product Manager, Life Sciences Data Products (Applied AI)

Location: U.S. (Remote-first) with optional hub-based hybrid
Employment: Full-time
Level: Senior IC (high ownership)
Start: ASAP / Flexible

Beacon Talent is leading a confidential search for a venture-backed company building an applied AI + data platform that supports life sciences teams (biopharma, medtech, and research organizations) with secure access to real-world clinical datasets and tooling that accelerates discovery and development while maintaining high standards for privacy, quality, and responsible use.

The Role

As Senior Product Manager, Life Sciences Data Products, you will own the strategy and execution for a portfolio of data-driven products used by life sciences customers to find, access, evaluate, and operationalize complex clinical datasets for R&D and clinical development workflows.

This is a hands-on, high-agency role—ideal for a PM who loves ambiguous problem spaces, can translate market signals into crisp product bets, and can partner deeply with engineering and data teams to ship scalable product capabilities.

What You’ll Own

  • Product vision & roadmap: Define the life sciences product strategy, identify the highest-leverage problems, and translate them into a sequenced roadmap with measurable outcomes.

  • Discovery & validation: Run customer interviews, workflow mapping, and opportunity sizing to determine what to build, what to standardize, and what to avoid as one-off services.

  • Scalable data products: Build repeatable “productized” capabilities that improve dataset usability, governance, search/retrieval, cohort building, and downstream analytics readiness.

  • AI-assisted workflows: Partner with technical teams to design automation that reduces friction in data access and analysis (e.g., metadata enrichment, quality signals, dataset packaging, evaluation tooling).

  • Execution leadership: Write requirements, define success metrics, manage tradeoffs, and drive delivery from concept through launch—iterating based on usage and customer outcomes.

  • Cross-functional alignment: Collaborate closely with go-to-market partners to ensure positioning, packaging, and feedback loops inform the roadmap without turning the product into custom projects.

  • Market awareness: Stay current on life sciences R&D and clinical development trends and incorporate them into differentiation and product choices.

What We’re Looking For

Required

  • 5+ years building data products or platforms for life sciences and/or healthcare customers.

  • Strong product discovery muscle: customer interviews, problem framing, prioritization, and roadmap ownership.

  • Technical fluency across data infrastructure, APIs, pipelines, and working concepts in ML-enabled products (no need to code).

  • Track record partnering with engineering and data teams to deliver complex, high-impact product work.

  • Excellent communication—credible with technical teams and clear with non-technical stakeholders.

  • Comfort operating in a fast-moving environment with evolving inputs and limited process.

Nice to have

  • 0→1 product experience or taking early products to scale in a regulated domain.

  • UX/product design sensibility with strong intuition for end-user workflows.

  • Prior experience in analytics, data science, or experimentation.

  • Familiarity with privacy, governance, and quality frameworks for sensitive datasets.

Why This Role

  • Direct ownership of a high-impact roadmap at the intersection of life sciences + data platforms + applied AI

  • Meaningful influence over what becomes productized vs. service-heavy

  • Close collaboration with technical leadership and high visibility across the company

Compensation

Competitive base + equity + benefits. (Exact range varies by level and location and will be shared during the process.)