Technology Leader

unlimited holidays - extra holidays - extra parental leave
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related fields., 12+ years of experience in technology consulting, architecture, or engineering roles., Proven experience designing and leading data platform, analytics, or AI/ML solutions in the cloud, especially on Azure., Strong understanding of cloud data architecture, data security, compliance, and governance..

Key responsibilities:

  • Lead client discussions on data solutions, AI enablement, and cloud platform design.
  • Guide the discovery, architecture, and development of data and AI solutions.
  • Collaborate with stakeholders to translate business needs into technical solutions.
  • Mentor teams and ensure technical quality across client delivery projects.

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The Planet Group Large http://www.theplanetgroup.com
1001 - 5000 Employees
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Job description

Job Description:

The Role:

Launch is actively seeking a passionate and highly skilled Technology Leader with deep experience in data architecture, cloud engineering, and AI/ML enablement. This individual should have a strong background in spearheading technology initiatives in a consulting capacity. In this pivotal role, you will help shape technology roadmaps, lead strategic engagements, and architect cloud-native solutions focused on data platforms, analytics, and AI. You’ll also play a hands-on role in technical pre-sales, solution development, and delivery risk management while mentoring delivery teams and guiding client engagements. This is a highly visible leadership role requiring a unique mix of technical depth, business acumen, and client relationship-building.

Responsibilities:

  • Lead client conversations focused on data-driven solutions, AI enablement, and cloud platform design

  • Guide discovery, architecture, and development of world-class data and AI solutions across a broad range of technologies and design patterns

  • Collaborate with business and technical stakeholders to translate business needs into scalable, secure technical solutions

  • Develop data strategy roadmaps, proposals, and statements of work aligned to client business goals

  • Design architectures leveraging cloud-native data platforms, data pipelines, MLOps practices, and AI services

  • Partner with other technology leaders to shape complex, cross-functional transformation programs

  • Provide program-level architecture oversight and technical quality assurance across client delivery teams

  • Support internal knowledge sharing and contribute to the development of reusable frameworks and IP

  • Mentor engineers and architects, fostering a culture of technical excellence, innovation, and delivery quality

  • Communicate complex concepts to both technical and non-technical audiences, including executive leadership

  • Author or review technical documentation, architecture artifacts, and reusable design assets

  • Stay current with industry trends in data, AI, and cloud computing, and contribute to Launch thought leadership

Required Qualifications:

  • 12+ years of relevant work experience in technology consulting, architecture, or engineering roles

  • Proven experience designing and leading data platform, analytics, or AI/ML solutions in the cloud

  • Strong delivery experience in at Azure public cloud platform

  • Experience in regulated industries; financial services strongly preferred

  • Strong understanding of cloud data architecture, including data lakes, lakehouses, streaming, and batch pipelines

  • Proficiency in data security, compliance frameworks, and governance best practices

  • Demonstrated success developing technical roadmaps and solution architectures aligned to business objectives

  • Ability to scope and estimate projects, define resourcing plans, and guide execution from strategy to delivery

  • Excellent communication skills; able to engage C-level stakeholders and technical teams alike

  • Comfortable leading conversations across disciplines—engineering, product, data science, and business

Preferred Qualifications:

  • Prior consulting experience with financial services clients (banking, insurance, capital markets)

  • Familiarity with data privacy laws and regulatory frameworks like SOX, GLBA, PCI, or GDPR

  • Experience designing event-driven architectures (e.g., Kafka, Event Hubs) and real-time data pipelines

  • Familiarity with AI/ML model lifecycle management, feature stores, and MLOps platforms

  • Hands-on experience with infrastructure-as-code (IaC) and CI/CD in data and AI environments

  • Familiarity with GenAI tools, foundation models, and integration of LLMs into business use cases

  • Strong communication experience, including technical evangelism, thought leadership, or speaking at meetups/conferences

  • Kubernetes and container orchestration experience

  • Background in secure solution design, observability, and platform monitoring

Education & Certifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

  • Cloud certifications (Azure) preferred, especially those related to data architecture or AI engineering

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $200,000-$230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Employee Type:

Regular

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Collaboration
  • Communication

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