Role Description Act as the technical lead to drive customer success and value realization for Dynamics 365 and Power Platform solutions. - Own end-to-end delivery from solution design → architecture governance → development guidance → go-live. - Design and deliver scalable solutions across: - Dynamics 365 (CE/CRM) configuration and customization. - Power Platform (Power Apps, Power Automate, Power Pages, Power BI). - Lead technical implementation including: - Plugin development (C#), workflows, and Web API integration. - System integration with M365, Azure, and third-party systems. - Define and review solution architecture, data models (Dataverse), and integration patterns. - Provide code reviews, performance tuning, and best practice guidance. - Support Power Platform adoption, including CoE setup, governance, and ALM strategy. - Collaborate with stakeholders to translate business requirements into technical solutions. - Manage delivery risks, quality, and technical alignment to ensure successful outcomes. Qualifications - 5+ years of experience in enterprise application development or solution architecture. - 5+ years of hands-on experience in Dynamics 365 or Power Platform projects. - Proven experience in end-to-end solution delivery (design to production). - Customer-facing experience (consulting, delivery, or pre-sales) preferred. Requirements - Microsoft Certifications (PL-600, PL-400, MB-210, AZ-204). - Experience with Power Platform CoE and governance frameworks. - Large enterprise or government project experience. - Experience working in multi-country or APAC environments. Company Description Beyondsoft is a leading mid-sized business IT and consulting company that combines modern technologies and proven methodologies to tailor solutions that move your business forward. Our global head office is based in Singapore, and our team is made up of a diversely talented team of experts who thrive on innovation and pushing the bounds of technology to solve our customers’ most pressing challenges. - Global presence spanning four continents (North America, South America, Europe, and Asia). - Global network of talent and customer-centric engagement model enables us to provide top-quality services on an unprecedented scale. - We believe in collaboration, transparency, and accountability as guiding values. - Strive to foster a workplace where innovative ideas flourish and where people can unleash their brilliance.

• Support Medically Integrated Dispensing (MID) programs across a portfolio of health system and provider-based specialty pharmacy clients • Analyze distribution data along with operational metrics to support internal performance monitoring • Identify trends in volume, reimbursement, utilization, and payer mix • Support root cause analysis to identify performance gaps and operational issues • Contribute to development and tracking of standard MID KPIs • Assist with trend analysis, performance tracking, and forecasting support • Contribute to reporting on program ramp and growth across the MID portfolio • Prepare inputs and insights for quarterly business reviews (QBRs) and client deliverables • Translate data into clear, actionable insights and summaries for client consumption • Develop and maintain tables, reports, dashboards in Power BI, SSRS, Tableau, Snowflake, Databricks, or similar tools

Role Description ButterflyMX is seeking a Revenue Intelligence Lead to own the data and decisioning foundation of the Sales organization and evolve it into the trusted intelligence layer that powers every Sales decision, planning cycle, and GTM automation we run. This role sits at the center of how we understand our business. You will own the canonical revenue data model, govern all metric definitions, and ensure every dashboard, report, and data feed the Sales org depends on is accurate, consistent, and decision-ready. The VP, Director, and Business Partners carry the narrative to Leadership; you own the data layer that makes that narrative trustworthy and unimpeachable. This is a senior individual contributor role at the intersection of data engineering, GTM analytics, and revenue operations. You will operate with significant autonomy within the Sales data and intelligence domain, provide impact directly to Sales Leadership and key partners across Finance, Marketing, and Product, and be expected to proactively identify what needs to be built, not just execute against what’s handed to you. When this role is working well, leadership moves faster because the data is never in question, analysis is never challenged on credibility, and the Sales Ops team spends its time with cross-functional stakeholders on judgment rather than reconciliation. Qualifications - You are obsessive about data accuracy. - You build infrastructure, not one-offs. - You get the business, not just the data. - You surface problems within your domain before being asked. - You manage your own workload without constant direction. - You execute with ownership. Responsibilities - Own the canonical revenue data model and all metric definitions, ensuring consistency of data definitions, tables, and lineage across all Sales systems and vendor data sources. - Build and maintain a unified revenue data and business logic layer combining Salesforce, Snowflake, and third-party vendor sources. - Own all BI dashboards for the Sales organization, from executive KPIs to rep-level performance views. - Produce the decisioning outputs that drive the revenue operating rhythm. - Provide clean, reliable, and well-documented data inputs to power GTM automation. - Establish and automate repeatable data processes in SQL. - Coordinate with Analytics Engineering and Business Systems on Sales data modeling and data quality. Requirements - Strong SQL skills; production-quality queries, well-documented data models, and code written as though others will maintain and build on it. - Experience in data architecture, management, and warehousing; Snowflake strongly preferred. - Hands-on experience with Salesforce data, including schema familiarity and field-level data quality patterns. - Proficiency in modern BI tools such as Sigma Computing, Hex, Omni, Tableau, or equivalent. - Demonstrated experience building and maintaining a unified data and intelligence layer. - Experience supporting strategic planning cycles with structured, data-backed outputs. - Ability to engage directly with Sales Leadership, Finance, and Marketing as a credible data expert. - Background in Data Analytics, Analytics Engineering, GTM Analytics, or Business Intelligence. Preferred - Familiarity with multi-channel GTM data environments. - Experience with businesses that sell hardware and software together. - Experience with multi-product data architectures. - Exposure to real estate, PropTech, or verticals with hierarchical account structures. Benefits - Comprehensive Medical, Dental and Vision plans (ButterflyMX covers 80% of the cost) starting day 1. - 401(k) plan with a match. - 10 paid holidays, 20 vacation days, 5 sick days, 3 floating holidays. - Basic Life and Accidental Death and Dismemberment Insurance (ButterflyMX covers 100% of the cost). - Short and Long Term Disability (ButterflyMX covers 100% of the cost). - Paid Family Leave. - Employee Assistance Program. - Quarterly self-care stipends. - Access to optional benefits including pre-tax flexible healthcare spending accounts (FSA and HSA), Dependent Care FSA, and Commuter Benefits. - And more!

• Responsible for creating advanced, information-based, business intelligence deliverables • Provide domain expertise in one or more specific areas • Work with customers across the organization in clinical, administrative and/or operational areas • Provide analytical insights from reports and/or dashboard visualizations • Facilitate discovery of new opportunities, support data-informed decision-making, develop new and enhance existing metrics • Communicate insights and opportunities to leadership, analytical needs to technical teams • Serve as a domain expert and mentor to other team membersSupporting projects that are outside their specialized domain • Procure and integrate the data sources necessary to analyze the needs appropriately • Deliver relevant analytics tools to meet customer’s objectives • Implement and support the solutions for ongoing utilization