Jobs at Blue Orange Digital

Lead end-to-end AI transformation engagements for private equity portfolio companies: run readiness assessments, score AI maturity, design roadmaps with ROI projections, manage delivery pods, execute stakeholder governance, and produce playbooks and repeatable offerings.

Lead hands-on design and delivery of production-grade AI solutions within a vertical. Architect LLM and agentic systems, cloud and data platforms, run technical deep-dives, advise executives, support pre-sales, and build reusable reference architectures and domain-specific accelerators to scale engagements and practice growth.

The HR Generalist will manage recruiting, compliance, employee relations, and HRIS operations, ensuring policies are updated and effective for a remote workforce.

Act as the founders' right hand to operationalize AI: prototype internal AI workflows, turn experiments into company-wide programs, run executive cadence and OKRs, unblock cross-functional projects, prepare strategic briefs, enforce responsible AI guardrails, and drive exit-readiness and organizational health.

Seller-doer Pre-Sales Solution Architect who leads technical discovery, architects data platform solutions (Databricks, Snowflake, cloud), builds proposals/SOWs, carries sales quota, then guides delivery through early phases while remaining hands-on with production code and account expansion.

Lead and grow the private equity channel through direct selling, pipeline creation, and relationship activation. Carry quota, close consultative PE-focused engagements ($150K–$1M+), define the PE sales playbook, represent the firm at industry events, and coordinate with delivery teams to ensure smooth handoffs and successful implementations.

Design, build, and deploy scalable data lakehouse and warehouse platforms; implement and optimize ETL/ELT pipelines (Databricks, dbt); develop data models and Medallion architecture layers; manage CI/CD and Infrastructure as Code (Azure DevOps, Terraform, CloudFormation); use cloud-native serverless offerings across major clouds; ensure data security and governance; integrate pipelines with BI tools like Tableau, Looker, and Power BI; communicate technical designs to stakeholders.

Design, develop, and maintain Power BI dashboards and data models; write optimized SQL for extraction and transformation; implement data validation and quality checks; analyze large datasets for trends and anomalies; communicate findings and progress to stakeholders and participate in client engagements.

Hands-on Senior Data Engineer to maintain and optimize an Oracle-centric enterprise data warehouse, manage cloud-to-Oracle integrations, evolve ETL/ELT pipelines, and help build a hybrid lakehouse (Apache Iceberg, OCI Object Storage, Parquet). Requires performance tuning, Linux administration, Java debugging, and close collaboration with senior client stakeholders. Contractor role with possible conversion to full-time.

Full-cycle Account Executive responsible for aggressive lead generation (events, cold outreach, networking), managing the sales funnel to close middle-market deals, coordinating with sales engineering and delivery, and using AI-driven automations to enrich leads, run outreach, maintain CRM hygiene, and meet quota while traveling up to 50%.

The Data Engineer will design, build, and deploy scalable data solutions, optimize data flows, and implement ETL processes, leveraging various cloud platforms and technologies.

Lead and define architectural solutions for data pipelines, mentor teams, optimize ETL/ELT processes, and ensure data governance in a client-facing environment.

As a Senior Business Data Analyst, you will lead client engagements, translate business questions into analytical work, and deliver impactful data products while leveraging AI tools for efficiency.

Lead architecture and implementation of scalable cloud-native data platforms and medallion-tiered pipelines. Optimize ETL/ELT, enforce data governance, security, and CI/CD/IaC. Mentor engineers, drive adoption of managed/serverless cloud services, integrate BI tools, and lead client-facing technical consulting and architectural decisions.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.