This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data & AI Architect in the United States.
This role is ideal for an experienced data and AI professional who can combine strategic consulting with hands-on technical execution. You will lead enterprise-wide AI and data transformation initiatives, working with clients to design modern data architectures, implement advanced AI solutions, and operationalize analytics capabilities. The position involves managing cross-functional teams, establishing governance frameworks, and delivering measurable business outcomes. You will work closely with executive stakeholders, translate complex technical concepts into actionable strategies, and guide clients through AI adoption and organizational change. This role offers the opportunity to impact multiple industries and work in a fast-paced, collaborative, and innovative environment.
Accountabilities:
- Manage client relationships and serve as a trusted advisor on AI and data transformation initiatives.
- Lead discovery sessions to define business objectives, assess organizational readiness, and identify high-value use cases.
- Design and implement enterprise data architectures, including lakehouse and medallion patterns, as well as AI/ML solutions.
- Develop AI governance, model risk management, and responsible AI frameworks aligned with regulatory and ethical standards.
- Oversee cross-functional project teams, including data engineers, analysts, and subject matter experts, ensuring successful delivery.
- Conduct assessments, gap analyses, and process re-engineering to optimize workflows and embed data-driven decision-making.
- Produce technical design documents, architectural diagrams, and solution blueprints for complex initiatives.
- Provide guidance on organizational change management, capability building, and AI operationalization.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related technical field; Master’s preferred.
- 10+ years of progressive experience in data management, analytics, and AI implementation roles.
- 5+ years leading client-facing consulting engagements with strategic responsibility.
- Proven expertise in designing and implementing enterprise data platforms and AI solutions at scale.
- Deep knowledge of AI/ML technologies, including predictive modeling, deep learning, and generative AI (LLMs, RAG architectures).
- Hands-on experience with cloud data platforms (Azure, AWS, GCP), data integration tools, and MLOps/DataOps practices.
- Strong understanding of data governance, master data management, and data stewardship principles.
- Exceptional communication and stakeholder management skills, with ability to convey complex technical concepts to executives.
- Experience in multiple industries such as insurance, manufacturing, healthcare, financial services, or banking is highly desirable.
- U.S. Citizenship required due to potential work in regulated industries.
Benefits
- Competitive base salary ($180,000, final offer based on experience and location).
- Flexible work arrangements with remote options.
- Health, dental, vision, life, and accident/death/disability insurance, plus HSA contributions.
- Nine paid holidays annually and robust Flexible Time Off (FTO) policy.
- Paid parental bonding leave for birth, adoption, or foster children.
- 401(k) with employer contributions.
- Tuition reimbursement and professional development opportunities.
- CPA exam support with paid study and exam days.
- Employee and client referral bonus programs.
- Pet insurance and wellness programs with incentives.
- Volunteer program with paid hours for community engagement.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
- 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
- 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
- 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
- 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company, who then manages interviews and next steps.
