Senior Technical Consultant, Data

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.

The Senior Technical Consultant is an experienced, client-facing technical professional responsible for leading the design and hands-on delivery of complex data, analytics, AI, cloud, and modern data platform solutions. Operating between the Technical Consultant and Principal Technical Consultant levels, the role combines deep technical execution with solution leadership, consultative problem solving, client engagement, and team enablement.

Senior Technical Consultants independently own significant technical workstreams and solution components, translate business and technical requirements into scalable implementations, guide other engineers, and ensure work is tested, documented, secure, maintainable, and production-ready. They are expected to lead through technical credibility and hands-on delivery while escalating enterprise architecture, cross-workstream governance, or critical technical decisions to the Principal Technical Consultant or Solution Architect when appropriate.

Beyond client delivery, Senior Technical Consultants strengthen the Data Practice by mentoring less-experienced technical consultants, contributing reusable engineering patterns and standards, supporting technical discovery and proposal development, and continuously expanding expertise across modern data, cloud, governance, analytics, and AI technologies.

• Expectations:

Senior Technical Consultants are expected to consistently demonstrate strong technical execution, structured thinking, consultative behavior, ownership, proactive communication, and emerging technical leadership. They should independently drive complex technical work while helping less-experienced team members succeed and maintaining alignment with the broader architecture and delivery strategy.

Leadership and Ownership

• Take end-to-end ownership of assigned technical workstreams and outcomes, not just individual development tasks.

• Plan and prioritize technical work, anticipate dependencies, identify risks early, and drive routine next steps without requiring step-by-step direction.

• Bring problems with analysis, options, and a recommended path forward; escalate early when decisions or risks exceed workstream authority.

• Maintain accountability for the quality, completeness, timeliness, and production readiness of technical deliverables within assigned scope.

Consulting and Client Effectiveness

• Clearly define technical problems, impacts, assumptions, constraints, and success criteria before moving into execution.

• Connect technical decisions to client business objectives, operational outcomes, delivery feasibility, and long-term maintainability.

• Communicate in a structured, concise, audience-appropriate manner and participate confidently in client-facing workshops and technical decision-making.

• Provide insights and recommendations rather than status updates or technical findings.

Technical Excellence

• Demonstrate deep hands-on capability in or more modern data, cloud, analytics, AI, governance, or integration disciplines and sufficient breadth to understand adjacent components.

• Design and implement solutions that are scalable, secure, testable, maintainable, observable, performant, and supportable.

• Apply architecture and engineering standards consistently and use design/code reviews to improve quality across the team.

• Balance technical quality with delivery constraints, client priorities, implementation effort, and operational realities.

Team Leadership and Practice Contribution

• Provide clear technical guidance, constructive peer review, and practical coaching to less-experienced technical consultants.

• Help teams operate with ownership, structured problem solving, engineering discipline, and proactive communication.

• Contribute reusable assets and lessons learned that improve delivery quality, scalability, and consistency across the practice.

• Demonstrate readiness for progression by increasingly shaping technical direction while recognizing that enterprise architecture governance and overall technical accountability sit with the Principal Technical Consultant.

• Roles and Responsibilities:

Technical Delivery and Workstream Leadership

• Own and lead complex technical workstreams or major solution components from discovery and design through build, test, deployment, and stabilization.

• Lead technical working sessions, design discussions, demonstrations, troubleshooting sessions, and implementation planning with client and AHEAD teams.

• Translate business requirements, source-system knowledge, architecture direction, and acceptance criteria into practical, scalable, secure, and maintainable technical solutions.

• Design, build, operationalize, secure, monitor, and optimize modern data solutions, including ingestion, transformation, orchestration, curated data layers, integrations, APIs, semantic artifacts, and data products.

• Develop robust automated pipelines for structured and unstructured data using batch, streaming, and cloud-native patterns as appropriate.

• Modernize legacy SQL, ETL/ELT, data warehouse, data lake, integration, and orchestration workloads; support dependency mapping, reverse engineering, migration, cutover, and stabilization.

• Apply engineering discipline through source control, code review, CI/CD, automated testing, monitoring, observability, performance optimization, and production-readiness practices.

• Lead technical testing and validation activities including unit, integration, system, data-quality, regression, KPI reconciliation, defect resolution, UAT support, and Definition of Done / acceptance criteria.

• Incorporate governance and security requirements into technical delivery, including metadata, lineage, classification, access controls, data quality, business definitions, retention/lifecycle, and catalog or semantic artifacts.

• Troubleshoot complex technical and data issues, identify root causes, develop options, and drive resolution with business users, client SMEs, architects, and engineering teams.

• Estimate and plan technical work within agile delivery models, manage dependencies and technical commitments, and proactively surface risks or delivery impacts with recommended actions.

• Produce and review client-ready technical documentation including designs, mappings, configurations, test evidence, runbooks, decisions, deployment materials, and handoff documentation.

Technical Leadership and Team Enablement

• Provide day-to-day technical direction to Technical Consultants, Associate Technical Consultants, and offshore/onshore engineers within assigned workstreams.

• Review code, designs, data models, pipelines, integrations, and engineering deliverables for quality, consistency, maintainability, and alignment with established architecture and standards.

• Coach team members on structured problem solving, engineering practices, troubleshooting, documentation, and client-ready communication.

• Drive consistency across implementation by leveraging AHEAD reference architectures, reusable components, templates