Senior Implementation Specialist – Data & Business Intelligence

Deighton Associates Ltd.•Whitby, ON

75d

About The Position

The Senior Implementation Specialist – Data & Business Intelligence plays a pivotal role in delivering successful dTIMS implementations for our global clients. This position sits at the intersection of data expertise, business intelligence, and client engagement — bringing structure, insight, and clarity to complex asset management data environments. This is a senior role for a professional who understands that behind every successful dTIMS deployment lies a deep understanding of client data: where it comes from, what it means, and the decisions it should drive. You will take the lead in interrogating, interpreting, and transforming client datasets into meaningful outputs — helping clients not just implement a system but truly understand and act on the stories their data tells. Working across the full implementation lifecycle, from discovery through to deployment, you will guide clients in defining their data requirements, resolving data quality challenges, and developing the analytical frameworks and business intelligence outputs that make dTIMS a genuinely transformative tool for infrastructure asset management.

Requirements

Bachelor’s degree in computer science, Software Engineering, or a related technical discipline.
10+ years of experience in software implementation, configuration, or technical consulting roles.
Proven experience delivering software demonstrations and end-user training within a consulting or professional services environment.
Advanced-level expertise with SQL, ETL processes, data pipelines, and tools such as Power Query M, OData, and Postman.
Expert-level experience with BI/reporting platforms (Power BI, Microsoft Fabric, Data Lake technologies, or similar).
Demonstrated ability to design and document technical workflows (UML, state diagrams, use cases, wireframes, ERD [Entity Relationship Diagrams]).
Advanced proficiency in statistical or analytical tools (Python, R, MATLAB, etc.) and familiarity with machine learning libraries.
Excellent communication skills with the ability to convey complex technical topics to both technical and non-technical stakeholders.
Strong analytical, problem-solving, organizational, and time‑management capabilities.
Ability to work independently while contributing effectively within cross-functional teams.
Practical experience of implementing programs aligned to Data Management Standards such as DAMA International (DMBOK), NASCIO (Data Governance Maturity Models), EDMC / DCAM (Data Management Capability Assessment Model), or others.
Practical experience of implementing programs aligned to Reporting & Dashboard Standards and Engineering Metrics Frameworks – DORA, SPACE, DX Core 4 or others.

Nice To Haves

Experience in infrastructure asset management (e.g., pavements, bridges) or civil engineering.
Familiarity with GIS platforms such as ArcGIS or QGIS.
Working knowledge of additional programming languages (Java, C#, C++).

Responsibilities

Lead end-to-end implementation activities, including requirements discovery, solution design, configuration, validation, training, and deployment.
Provide leadership and facilitation in workshops, stakeholder meetings, and technical discussions to ensure alignment across client teams.
Translate business requirements into actionable configuration and data workflows aligned with project scope.
Provide expert guidance during client decision-making, ensuring alignment with best practices and project objectives.
Manage and escalate risks or issues proactively, driving resolution and maintaining strong client relationships.
Deliver high-quality client-facing documentation, including implementation plans, configuration guides, and technical reports.
Maintain high billable utilization while contributing to overall Professional Services revenue targets
Identify, shape, and drive strategic follow-on work by contributing to competitive bid strategies and identifying opportunities within current projects to pursue through to successful closure.
Mobilize advanced technical skills across multiple projects to lift delivery capability at scale, enabling broader team effectiveness and reducing reliance on subject matter experts.
Design and implement data integration workflows, including ETL pipelines, data transformations, and data validation processes.
Extract, transform, and load large-scale datasets using Postman, SQL, Power Query M, or other relevant tools.
Build statistical, analytical, and reporting solutions using Power BI, Microsoft Fabric, Python, R, Jupyter Notebooks, Git, or other statistical/visualization tools.
Evaluate modern technologies and recommend innovative approaches to improve data workflows and standardize implementation methods.
Develop technical artifacts such as data models, process diagrams, configuration specifications, and API usage documents.
Work closely with Product Development to provide structured feedback on product enhancements, limitations, and industry requirements.
Lead technical workstreams within large or complex projects, ensuring deliverables meet quality, timeline, and scope expectations.
Provide internal guidance to project managers, consultants, and other staff on solution approaches and data strategies.
Support the continuous improvement of implementation methodologies, templates, and knowledge assets.
Contribute to the evolution of implementation methodologies, templates, knowledge assets & frameworks
Assist in resolving advanced technical or configuration issues raised by internal teams or clients during and after implementation.