Senior Technical Consultant, Data

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 only status updates or technical findings.

Technical Excellence

• Demonstrate deep hands-on capability in one 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.

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, engineering frameworks, and delivery standards rather than recreating solutions.

• Partner closely with Principal Technical Consultants, Solution Architects, Senior Consultants, Principal Consultants, Project Managers, governance resources, and client SMEs to keep technical execution aligned with solution direction and business outcomes.

• Act as a technical escalation point within assigned workstreams and know when issues require escalation to the Principal Technical Consultant or architecture leadership.

Client Consulting and Solution Development

• Operate as a consultant, not only a technical task executor: understand the client problem, business context, expected outcome, constraints, and tradeoffs before recommending or implementing a solution.

• Communicate technical decisions, risks, assumptions, dependencies, tradeoffs, and recommendations clearly to technical and business stakeholders.

• Build credibility with client technology and business stakeholders through preparation, sound technical judgment, reliable execution, and proactive communication.

• Contribute to technical discovery, assessments, estimates, solution approaches, proofs of concept, proposals, statements of work, and pre-sales activities with implementation insight grounded in delivery feasibility, effort, dependencies, and risk.

• Identify opportunities for technical improvement, modernization, automation, or follow-on work and raise them through the appropriate engagement and account leadership.

Practice Development and Continuous Improvement

• Contribute reusable engineering assets, implementation patterns, accelerators, standards, lessons learned, and technical documentation back to the Data Practice.

• Support knowledge sharing, technical enablement, onboarding, interviewing, and certification development for the technical consulting community.

• Maintain current expertise in modern data platforms, cloud technologies, AI, governance, analytics, integration, and emerging engineering practices.

• Pursue relevant technical certifications and develop broader consulting, communication, facilitation, business, and delivery skills in preparation for Principal Technical Consultant responsibilities.