Enter a job title or keyword

Contractor Support to Data Integration & Decision Support-Enabling Capabilities Portfolio

Alluvionic

Job Location:

Norfolk, MA - USA

Monthly Salary: Not provided by the employer

Posted: 29 September 2026 (7 days ago)

Application Deadline: 27 December 2026

Vacancies: 1 Vacancy

Job Summary

Job Summary:
Alluvionic is currently seeking experienced applicants for a Contractor Support to Data Integration & Decision Support-Enabling Capabilities Portfolio position to support the North Atlantic Treaty Organisation (NATO) Headquarters Supreme Allied Commander Transformation (HQ SACT) Capability Development Management Support (CMDS) contract.

Must be US Citizen
Clearance Required: Yes Active NATO or US SECRET (or higher)
Location:Norfolk VA (On-Site)
Position:Contingent upon award of Contract.
Responsibilities:

Support the Enabling Capabilities Portfolio with an initial emphasis on Infrastructure Programmes through hands-on data integration data engineering analytics and decision support activities.
Work directly with programme managers portfolio staff analysts data owners and other stakeholders to understand priority decisions information requirements existing data sources data gaps and opportunities to improve programme delivery through better use of data.
Design develop test and maintain repeatable data integration processes that ingest transform reconcile and prepare information from multiple programme and enterprise sources for operational use and analysis.
Develop and maintain structured data models common definitions business rules reference data and data-quality controls required to produce trusted programme and portfolio-level information.
Design prototype configure and improve digital data-collection applications and workflows that replace or materially reduce spreadsheet-intensive manually consolidated email driven or otherwise fragmented data operations.
Support the continued development maturation and operational use of digital Management and Oversight Review (MOR) data collection and decision-support solutions for Infrastructure Programmes and other Enabling Capabilities Portfolio requirements.
Develop dashboards metrics visualizations analytical products and other decision-support solutions that improve visibility of programme status delivery performance schedule resources risks dependencies and emerging issues.
Apply descriptive and diagnostic analytical techniques and predictive or prescriptive techniques when directed and appropriate to the decision requirement to identify trends relationships anomalies risks and opportunities relevant to programme or portfolio management.
Integrate programme and portfolio information with authoritative NATO or enterprise data sources through approved mechanisms including relational databases APIs data services structured file exchange or other available interfaces.
Identify data-quality ownership lineage governance stewardship and authoritative-source issues affecting delivered solutions and implement or recommend practical remediation measures in coordination with responsible stakeholders.
Use appropriate development and engineering practices including source or configuration control documented transformations and business rules reproducible processing configuration management and separation of development and operational artifacts where supported by the technical environment.
Document data sources data models transformations business rules analytical logic dependencies assumptions operating procedures and solution configuration sufficiently to support transparency auditability reuse sustainment and transition.
Conduct user testing and iteratively improve solutions based on operational use
stakeholder feedback data-quality findings and changes to programme or portfolio
information requirements.
Establish appropriate baselines and assess the effect of delivered solutions on factors such as data quality timeliness manual processing effort information availability workflow efficiency and usefulness to decision makers.
Present analytical findings assumptions limitations risks and decision implications to programme managers portfolio leadership and other stakeholders.
Support transition of successful prototypes pilots data products and analytical solutions to enduring enterprise platforms production-support organizations or designated scaling teams including preparation of sufficient technical and operational documentation to enable another appropriately qualified individual or team to sustain the solution.

Qualifications:

Minimum Education or Relevant Professional Experience: A University Bachelors degree in Data Science Computer Science Information Systems Engineering Operations Research Statistics Applied Mathematics or a closely related field; or a minimum of five years of directly relevant professional experience in lieu of the degree. Directly relevant professional experience shall include work in at least two of the following areas: data integration or data engineering; analytical programming; business intelligence analytics or decision-support development. Either the degree or experience-in-lieu route fully satisfies this qualification.
Recent End-to-End Hands-On Solution Delivery Experience: Demonstrated recent experience personally developing operational data or analytical solutions from identification of a user or decision requirement through data preparation or integration solution development user testing and operational use. The candidate shall demonstrate at least twelve calendar months within the last twenty-four months during which hands-on technical delivery was a regular part of the candidates assigned work and at least one data or analytical solution personally developed and used by an identified user group as part of an active business or decision-making process within the last eighteen months.
Data Integration and Engineering Experience: Minimum of three years within the last five years including hands-on experience within the last twenty-four months performing data integration or data engineering activities using relational databases ETL/ELT APIs data pipelines data services structured data exchange or comparable methods.
SQL and Analytical Programming Experience: Minimum of two years within the last five years including hands-on use within the last twenty-four months using SQL against relational data sources and at least one of Python R Scala Julia SAS MATLAB Stata or an equivalent general-purpose or statistical analytical programming language to prepare transform integrate automate analyze or quality-control data.
Digital Data Collection and Workflow Modernization Experience: Demonstrated experience within the last five years personally designing or developing at least two structured digital data collection workflow low-code/no-code configured-application or comparable solutions that reduced reliance on manual email-driven or spreadsheet-based information processes. At least one example must have been personally developed or materially enhanced within the last three years.
Business Intelligence and Decision Support Experience: Minimum of three years within the last five years personally developing business intelligence products analytical products dashboards metrics visualizations or comparable decision-support products.
Applied Data Modelling Data Quality and Governance Experience: Demonstrated hands-on experience within the last five years including at least one example within the last three years applying data modelling data quality or data-governance practices as part of an operational data or analytical solution.
Transition Documentation and Sustainment Experience: Demonstrated experience within the last five years documenting and transferring at least one data analytical or digital solution for continued operation or maintenance by another developer colleague support team platform owner or operational organization.
Requirements Elicitation and Decision Communication Experience: Minimum of two years within the last five years working directly with operational users programme personnel managers or decision makers to identify information or analytical requirements and communicate findings assumptions limitations risks or decision implications.