Blue Orange Digital

• This is a true seller-doer role. You own the technical sale, then help deliver the work you sold. • You lead discovery, shape the architecture, build the proposal, and carry the technical narrative that wins the deal. • Once the deal closes, you stay involved. You set the technical direction for the engagement, guide the delivery team through the first critical phases, and remain the trusted architect the client turns to. • You architect across multiple vendors and cloud platforms, not a single-product demo. You design end-to-end architectures on Snowflake, Databricks, AWS, GCP, and Azure. • You deliver. You stay on the account and write production-grade code, so the solution you scoped is the solution that ships.

Role Description This role is for an experienced, hands‑on practitioner capable of designing and implementing performant and scalable data solutions, and optimizing data flow. Qualifications - 5+ years of industry experience as a hands‑on practitioner in Data Engineering. - Advanced proficiency in Python and SQL (TypeScript/JavaScript/Java a plus). - Proven experience with ETL/ELT implementation and data modeling for data warehouses/lakehouses. - Understanding and experience with the Medallion Architecture (Bronze, Silver, and Gold layers). - Experience with advanced DevOps, CI/CD, and strong Linux system administration skills. - Expertise in 2–3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and Fabric). Requirements - Design, build, and deploy robust data platforms, including data lakehouses and warehouses, and automate their operation using tools like Azure DevOps, Terraform, and CloudFormation. - Implement and optimize advanced ETL/ELT data pipelines and orchestrate complex data jobs using platforms like Databricks notebooks and dbt. - Design and maintain data models, potentially utilizing data virtualization tools like Cube. - Leverage managed and serverless cloud offerings to create performant and scalable cloud‑native application solutions and data pipelines. - Apply best practices for data security and ensure compliance with governance requirements. - Build high‑performance data pipelines and integrate with BI tools like Tableau, Looker, and Power BI. - Provide leadership in applying software development best practices, including CI/CD and managing Infrastructure as Code. Benefits - Competitive base compensation with performance bonuses. - Comprehensive health, dental, and vision benefits. - 401(k) with company match. - Work on diverse, high-impact engagements across industries. - Direct access to leading-edge data and AI stacks (Snowflake, Databricks, AWS, GCP, Azure). - Builder culture where analysts lead engagements and ship work, not slides. - Professional development budget and certification support. - Flexible remote work environment with a collaborative, high-talent team.

• Embed with client teams to understand how work actually happens, shadowing operators and mapping processes that live in people's heads, spreadsheets, and a dozen disconnected tools • Break down complex business processes into agentic workflows: decompose a goal into steps, decide what an agent automates versus where a human stays in the loop, and design the tool-use and decision logic to match • Build production-grade agentic workflows using frameworks like LangGraph and LangChain, including tool calling, memory, routing, retries, and clean failure recovery • Build integrations to the data and operational systems that workflows depend on: CRMs, ERPs, ticketing systems, data warehouses, internal APIs, and document stores, handling auth, rate limits, and reliability • Enable core platform capabilities that the whole engagement reuses: retrieval over client documents, structured output and function calling, prompt versioning, logging, and observability • Design evaluation and guardrails that make a workflow trustworthy in an enterprise setting: task-specific evals, regression checks, PII handling, and human review steps where the stakes demand them • Run working sessions and demos that keep business stakeholders bought in, translating technical tradeoffs into clear decisions about cost, risk, and timeline • Document what you build and hand it over cleanly, so client teams can operate and extend the workflows after the engagement • Bring patterns back to BOD, turning what worked on one engagement into reusable building blocks for the next

• Build internal AI, hands-on. • Turn AI work into a program. • Founder leverage and key-person de-risking. • Operating cadence and company performance reviews. • Cross-functional execution and unblocking. • Strategic narrative and decision support. • Responsible AI and operational guardrails. • Exit readiness and operational maturity. • Organizational health and talent.

• This is a true seller-doer role. You own the technical sale and then help deliver the work you sold. • You will sit at the front of the engagement, translating ambiguous business problems into scoped, credible solutions across our service lines: Data Platform Modernization, AI/ML Implementation, Analytics and BI, and Data Strategy. • You will lead discovery, shape the architecture, build the proposal, and carry the technical narrative that wins the deal. • Once the deal closes, you stay involved. You set the technical direction for the engagement, guide the delivery team through the first critical phases, and remain the trusted architect the client turns to. • That dual mandate is how you land new accounts and expand existing ones. • You are measured on both what you sell and what you deliver. • You will work directly with CTOs, VPs of Engineering, and CDOs, and pair with our practice leads and senior engineers.

Role Description We are hiring a Senior Business Data Analyst who acts as the connective tissue between our clients' business stakeholders and the data they need to run their companies. You will own client engagements end to end: - Sitting in the room with operators and executives, translating their messiest business questions into clean analytical problems. - Delivering data products that change how decisions get made. - Leading engagements and setting the agenda for client working sessions. - Pushing back when requirements are vague and proposing better questions than the ones being asked. - Owning the outcome from discovery through adoption. - Pairing deep SQL and modeling skills with the instincts of a consultant. - Leaning hard on AI tools to accelerate work. What You Will Do - Lead client-facing discovery sessions to elicit, document, and prioritize business requirements. - Translate ambiguous business problems into structured analytical work: data models, dashboards, KPI frameworks, and decision-support tools. - Write production-quality SQL against Snowflake, Databricks, BigQuery, or Redshift, and build trusted models in dbt or the client's modeling layer. - Build and maintain dashboards and reporting in Looker, Tableau, Power BI, Sigma, or the tool the client lives in. - Drive proactive analysis: surface trends, anomalies, and opportunities the client did not ask about but needs to see. - Apply AI tooling to compress timelines and raise the quality bar on every deliverable. - Set the cadence for client communication: status updates, demos, working sessions, and stakeholder reviews. - Mentor junior analysts on the engagement and contribute to BOD's analytics playbooks, templates, and internal tooling. Qualifications - 5+ years of experience as a business analyst, data analyst, BI analyst, or analytics consultant, with at least 2 years in a client-facing or embedded role. - Expert SQL: window functions, CTEs, performance tuning, and the ability to sanity-check your own numbers. - Strong data modeling fundamentals (dimensional modeling, star/snowflake schemas, dbt or equivalent transformation tooling). - Hands-on experience with at least one cloud data warehouse (Snowflake, Databricks, BigQuery, Redshift) and at least one modern BI tool (Looker, Tableau, Power BI, Sigma, Mode). - Demonstrated ability to lead client conversations: running requirements workshops, pushing back constructively, and driving alignment across stakeholders. - Working fluency with AI tools for analytical work (Claude, ChatGPT, Copilot, AI features inside BI and SQL tools). - Excellent written and verbal communication, with the judgment to scale your message to the audience. - Bias toward action: You would rather draft a working hypothesis and a v1 dashboard than wait for perfect requirements. Nice to Haves - Domain experience in commercial real estate, financial services, healthcare technology, or insurance. - Python for analytical workflows (pandas, notebooks, light scripting against APIs). - Experience scoping and pricing analytics work, or contributing to SOWs and statements of work. - Familiarity with data quality frameworks, observability tools, or governance practices. - Prior consulting or agency experience and comfort with utilization, billing, and multi-client context switching. - Experience implementing or evaluating AI-native analytics tools (text-to-SQL platforms, AI BI assistants, semantic layers). Benefits - Competitive base compensation with performance bonuses. - Comprehensive health, dental, and vision benefits. - 401(k) with company match. - Work on diverse, high-impact engagements across industries. - Direct access to leading-edge data and AI stacks (Snowflake, Databricks, AWS, GCP, Azure). - Builder culture where analysts lead engagements and ship work, not slides. - Professional development budget and certification support. - Flexible remote work environment with a collaborative, high-talent team.

Role Description Blue Orange Digital partners with private equity firms to bring AI to their portfolio companies, from initial assessment through production rollout. We are scaling that practice and need a Senior AI Transformation Consultant to lead client engagements end to end. You will own the engagement lifecycle: - Discovery and readiness assessments - AI maturity scoring across business and product dimensions - Roadmap design - ROI modeling - Executive communication You will lead delivery pods built from BOD architects, engineers, and SMEs, working alongside our Principal AI Solutions Architect and Lead Databricks Architect. Your audience ranges from PE operating partners and CFOs to portfolio company CEOs, CTOs, and founders. Qualifications - 7+ years in data and AI consulting, with 3+ years in a client-facing senior or manager role - Track record running enterprise AI programs that connect C-level alignment to delivery outcomes - Big Four, MBB, or boutique consulting firm background, or equivalent advisory experience inside a data/AI-forward enterprise - Fluency with modern AI system concepts — large language models, retrieval-augmented approaches, and agent-based systems - Strong knowledge of modern data platforms like Databricks and Snowflake - Demonstrated change management experience partnering with client engineering organizations - ROI modeling, business case development, and executive presentation skills - Comfortable contributing to engagement success across delivery quality, client satisfaction, and organic account expansion Requirements - PE or private capital portfolio advisory background - Experience with operating model design, M&A integration, or post-merger technology rationalization - Network in PE operating partner and portfolio CTO communities - Familiarity with ISO 42001, NIST AI RMF, and the EU AI Act Benefits - Fully remote - Flexible Schedule - Unlimited Paid Time Off (PTO) - Paid parental/bereavement leave - Worldwide recognized clients to build skills for an excellent resume - Top-notch team to learn and grow with - Competitive compensation with performance bonuses - Work on diverse, challenging projects across industries - Direct access to cutting-edge tech stacks (Snowflake, Databricks, AWS, GCP, Azure) - Builder culture where engineers lead and ship - Professional development budget and certification support - Flexible remote work environment - Collaborative team that values production-grade craftsmanship

Role Description Blue Orange Digital is scaling its AI practice and needs Senior AI Engineers to deliver production agentic and AI systems to client engagements. The work is a mix of deep, single-client transformations and portfolio-wide programs. Examples of what you could be shipping in any given quarter include: - End-to-end AI transformations for mid-market SaaS companies replacing manual, human-in-the-loop workflows with fully orchestrated agentic operations (document processing, review cycles, customer-facing copilots) - AI readiness assessments and phased implementation roadmaps across private equity and growth-equity portfolios, where a single engagement may span five to fifteen portfolio companies at varying maturity levels - Production RAG and retrieval systems for knowledge-heavy domains such as financial services, legal, compliance, and regulated public-sector workflows - Agentic tooling and MCP-based integration layers that connect LLMs to client systems of record, internal APIs, and third-party SaaS - Evals, observability, and guardrail frameworks that take client-built prototypes from notebook demos to load-tested, monitored production services - Internal AI enablement engagements — helping client engineering orgs stand up their first production agent platform, define patterns, and upskill their teams You will work as a senior IC inside a delivery pod — the core unit of how BOD delivers AI work. A typical pod is three to five people: - AI Architect — owns the platform and data foundations - AI Transformation Consultant — drives strategy, roadmap, change management, and executive alignment - Senior AI Engineer(s) (this role) — owns the agentic and ML implementation workstream - Additional roles as needed to scale the build Pods operate as a cohesive unit that tackles cutting-edge AI strategy and implementation end-to-end — from discovery and architecture through shipped, measured production systems — across a rotating portfolio of interesting clients. You will own the AI engineering workstream on your pod, partner daily with the Architect and Consultant as peers, and report into the Practice Lead. Qualifications - 5+ years building production data and ML systems in Python; 2+ years specifically on LLM-based or agentic systems - Hands-on experience with at least one major LLM orchestration framework (LangChain, LangGraph, Langflow, Databricks Agent Framework, or equivalent) - Production experience with Databricks (Unity Catalog, Delta Live Tables, MLflow) or comparable lakehouse platforms such as Snowflake with dbt - Deep knowledge of RAG architectures, vector databases, and embedding pipelines - Proven track record taking AI systems from prototype to production, including evals, monitoring, and on-call ownership - Comfortable working directly with client engineering teams as a peer and a coach Preferred Qualifications - Databricks, AWS, or Azure certifications - Experience with MCP, tool-calling protocols, or agentic protocol design - Background in security-aware AI engineering (prompt injection, data leakage, access control) - Multimodal AI experience across text, document, and image - FinOps experience optimizing model and compute spend Benefits - Competitive compensation with performance bonuses - Work on diverse, challenging projects across industries - Direct access to cutting-edge tech stacks (Databricks, AWS, GCP, Azure) - Builder culture where engineers lead and ship - Professional development budget and certification support - Flexible remote work environment - Collaborative team that values production-grade craftsmanship

• Assist in the planning, execution, and closing of projects. • Support the project team in adhering to project timelines and milestones. • Help facilitate Agile ceremonies (e.g., daily stand-ups, sprint planning) as needed. • Collaborate with team members to prepare project roadmaps. • Assist in documenting project requirements, processes, and status reports. • Communicate with stakeholders to provide updates and resolve blockers. • Work with various teams to ensure accurate information sharing on related projects. • Maintain project-related information on platforms like Confluence or similar tools.

Role Description We’re seeking an experienced, hands‑on Data Analyst with deep expertise in Power BI and SQL to join our multi‑disciplinary team. You’ll work directly with clients to turn raw data into clear insights, intuitive dashboards, and high‑quality reports. The ideal candidate possesses a proven ability to deliver high‑impact insights and effectively communicate technical concepts to stakeholders. - Collaborate with business stakeholders and technical teams to gather requirements for reports and dashboards. - Design, develop, and maintain scalable Power BI dashboards, reports, and data models. - Write optimized SQL queries (including complex joins, CTEs, and window functions) to extract, cleanse, and transform data. - Define and implement data validation, accuracy, and quality checks. - Analyze large datasets to identify trends, anomalies, and actionable insights. - Participate in customer engagement activities, clearly communicating technical concepts, design decisions, and project progress to stakeholders. Qualifications - Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field. - 3–6 years of industry experience as a hands‑on practitioner in data analysis, business intelligence, or a related role. - Advanced proficiency in SQL and proven experience with Python or other scripting languages for data manipulation. - Proven experience building advanced dashboards and reports in Power BI. - Strong understanding of data modeling, ETL processes, and data warehousing concepts. - Experience working with 2–3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, or Databricks). - Expertise in 3–4 key data/BI tools (e.g., Power BI, Tableau, Looker, dbt). - Effective communication skills and the ability to collaborate effectively with both technical and non‑technical stakeholders. Benefits - Fully remote - Flexible schedule - Paid parental and bereavement leave - Worldwide recognized clients to build skills for an excellent resume - Top‑notch team to learn and grow with Salary $5,350 USD monthly (range may vary depending on experience) Background checks may be required for certain positions/projects. Blue Orange Digital is an equal‑opportunity employer.