Senior Consultant, Data & AI
Senior Consultant, Data & AI at Synaptiq — Remote
- Company: Synaptiq
- Location: Remote
- Employment type: CONTRACTOR
- Posted: 2026-08-18
About this role
Primary Focus: Strategy, Advisory & Project Leadership. This role is for a seasoned practitioner focused on managing project outcomes, advising on infrastructure strategy, and driving stakeholder alignment. You own the client relationship and the overall project success.
Come work at Synaptiq and help solve problems that make an impact on communities all over the world through the power of data and AI.
At Synaptiq, we believe in building a better world for future generations through novel applications of data. We create intelligent products for our customers that monitor the health of young coral to maintain perfect coral nursery conditions, improve infrastructure in Rwanda, make banking more accessible to low-income populations in Mexico, and help to reduce the risk of strokes and heart attacks. We choose to work on products that matter.
Synaptiq values not only the work we do, but also the people we work with. At Synaptiq, our team:
• Is passionate about solving problems that improve lives.
• Has the audacity to believe we can solve the most challenging problems.
• Believes that AI is the natural path forward to solving world class riddles and has the responsibility to be an ethical participant.
• Promotes diversity and inclusion, fostering collaboration for meaningful and impactful work.
If you bring this kind of mindset to the table, we want to hear from you!
On any given day we hope that you will:
• Account Leadership — Own the client relationship alongside the executive sponsor, managing scope, expectations, and project governance.
• Serve as a client-facing expert, translating complex technical concepts into business-relevant insights and recommendations.
• Work with the project manager to manage project scope, timelines, and deliverables while coordinating with internal teams and client stakeholders.
• Manage client stakeholder expectations alongside the project leader and executive sponsor.
• Drive and/or support the breakdown of work within the team's work management tool for the data science and data engineering workstreams.
• Facilitate workshops, lead client meetings, and contribute to solution design with a clear understanding of business goals.
• Mentor junior team members and contribute to knowledge sharing and internal capability development.
• Lead and execute data science and data engineering work streams within AI strategy and implementation projects, with a focus on delivering measurable business value.
• Assess client data ecosystems and architect scalable, secure, and resilient Data and AI infrastructure using modern cloud (e.g., AWS, Azure, GCP) and data platforms (e.g., Databricks, Snowflake).
• Design and build robust data pipelines, analytics workflows, and machine learning models.
• Advise clients on infrastructure strategy, including cloud platform selection, cost optimization, data governance, and MLOps maturity.
In order to succeed, you will need to have some combination of the following:
• 10+ years of professional experience in data science, data engineering, or applied AI roles, preferably within a technology consulting or professional services environment.
• Demonstrated client-facing experience, including stakeholder communication, solution presentation, and project leadership in a professional services organization.
• Demonstrated ability to translate complex technical topics into clear, business-oriented language for executive audiences.
• Experience leading project work streams, managing deliverables, and mentoring junior team members.
• Proficiency in tools/languages such as Python, SQL, Spark, and cloud platforms (e.g., Azure, AWS, or GCP).
• Deep expertise with at least one major cloud platform (Azure, AWS, or GCP), including its core data, analytics, and AI/ML services.
• Hands-on experience designing and implementing data-intensive infrastructure, such as data lakes, data warehouses, or lakehouse platforms (e.g., Databricks, Snowflake, BigQuery, Redshift).
• Experience with MLOps, model deployment, and infrastructure-as-code (e.g., Terraform, CloudFormation) is strongly preferred.
• Strong business acumen, organizational skills, and ability to manage ambiguity in fast-paced engagements.
This is a contract position with part-time or full-time hours available.
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.