Sr Data & Analytics Engineer

The EPMO is seeking a seasoned Senior Data & Analytics Engineer to lead the technical foundation for Decision Ready Insights. This role will design the data architecture, governed reporting model, and analytics framework that transform portfolio, financial, and delivery data into trusted insights for enterprise decision-making., Design and implement the Decision Ready Insights data architecture and reporting model.

Integrate portfolio, delivery, financial, benefits, KPI, and resource data from Planview, Azure DevOps (ADO), EWM, Finance, Power BI, and other approved enterprise sources.

Establish common identifiers, data relationships, authoritative-source rules, lineage, and ownership.

Build governed datasets, reusable semantic models, ETL/ELT pipelines, historical snapshots, KPI calculations, and trend logic.

Assess data quality and implement validation, reconciliation, monitoring, and remediation controls.

Translate decision and reporting use cases into scalable solutions for EIC, Portfolio Leaders, Program Leaders, Delivery Teams, and EPMO Leadership.

Partner with business, technology, finance, and portfolio stakeholders to define requirements, metrics, and reporting priorities.

Document the target architecture, standards, operating model, and roadmap; transfer knowledge to internal teams., The successful candidate is a pragmatic architect and hands-on builder who can move from strategy to implementation. They will be comfortable challenging assumptions, resolving ambiguity, engaging senior stakeholders, and maintaining focus on actionable insight rather than dashboard volume.

The ideal candidate combines hands-on data engineering expertise with the ability to translate executive and operational needs into scalable reporting solutions. This is not solely a dashboard-development role; it requires architecture, integration, governance, and delivery leadership., 8+ years of experience in data engineering, analytics engineering, business intelligence, or a related discipline.

Demonstrated experience designing enterprise data architectures and executive reporting solutions.

Advanced SQL skills and strong experience with dimensional modeling, semantic models, and ETL/ELT pipelines.

Hands-on experience with Azure data technologies and Power BI datasets, models, and reporting.

Knowledge of data governance, data quality, lineage, metadata, and source-to-report controls.

Ability to communicate complex technical concepts to executive and non-technical audiences.

Preferred Experience

Planview, Azure DevOps, EWM, portfolio management, or EPMO reporting.

Executive scorecards, KPI frameworks, investment governance, benefits realization, or financial reporting.

Delivering in an ambiguous, cross-functional enterprise environment., 8+ years of experience in data engineering, analytics engineering, business intelligence, or a related discipline.

Demonstrated experience designing enterprise data architectures and executive reporting solutions.

Advanced SQL skills and strong experience with dimensional modeling, semantic models, and ETL/ELT pipelines.

Hands-on experience with Azure data technologies and Power BI datasets, models, and reporting.

Knowledge of data governance, data quality, lineage, metadata, and source-to-report controls.

Ability to communicate complex technical concepts to executive and non-technical audiences.

skills:

Azure data,Analytics,data architecture,data governance,ELT pipelines,dimensional modeling,ETL,data engineering,integration design,metadata,Azure DevOps,ADO,Planview,Power BI,EWM,Advanced SQL skills,layer 4,Ability to communicate,decision-making,leadership,Authoritative,pragmatic,accountability,financial reporting,architecture,benefits realization,business intelligence,calculations,portfolio reporting,dashboard,data relationships,semantic models,data model,data quality,scalable reporting,data products,governance,KPI,financial,Finance,metrics,modeling,operating model,portfolio management,quality assessment,executive reporting,use cases,semantic,inventory,Technical documentation,target architecture