Solution Consultant Jobs

Spinnaker Support provides global enterprise software support, managed services, and project-based consulting to many of the world’s most recognized and respected brands. Founded in 2008, our customer focus, business integrity, exacting standards, and depth of expertise have earned us the trust and loyalty of over 1,300 organizations located in 104 countries. Our dedicated international team works closely with every customer to ensure they receive exceptional, customized services that clear the way for their operational success. Today, Spinnaker Support is proud to be the industry’s highest-rated provider for third-party software support services for Oracle, SAP, VMware & Microsoft. We are seeking a Global Tax & Regulatory Compliance (GTRC) Functional Solution Architect (FSA) to support SAP clients globally. This role is responsible for analyzing legislative and regulatory changes, assessing client impact, designing functional solutions, and delivering end-to-end SAP implementations to keep clients compliant across multiple countries and jurisdictions. The ideal candidate is a hands-on SAP FI/CO consultant who can translate tax and regulatory requirements into ERP configuration. You must be able to design, configure, test, deploy, and support compliance changes using Agile methodology. This is a fully remote role, but must be based in United States. Responsibilities Monitor and assess global tax and regulatory changes, including e-invoicing, VAT/GST, withholding tax, statutory reporting, and country-specific compliance deadlines. Review legislative publications and tax authority guidance to determine impact on client environments. Translate regulatory requirements into functional SAP solutions, including tax procedure updates, e-invoicing configuration, reporting changes, withholding tax adjustments, and payment format updates. Assess cross-module impacts across AP, AR, GL, Fixed Assets, Procurement, and reporting. Con

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, L'Oreal, P&G, Disney & more! Role Overview: You would be joining a new sales team focussed solely on selling our Fulfilment proposition. This proposition is a key driver in the growth of the wider business meaning you will be able to make a demonstrable impact quickly. This is a true hunter role where you would be managing end to end deal processes. The focus is on mid and enterprise level clients looking take products direct to a consumer. You will be armed with one of the strongest Fulfuilment propositions on the market, pushing automation and innovation. You can find more about our THG Fulfil proposition here: https://www.thgingenuity.com/fulfillment Key Responsibilities: Analyse existing client portfolios to identify revenue growth opportunities. Develop and execute strategies to upsell and cross-sell products or services that align with clients' business objectives. Build deep, trusted relationships with key stakeholders within the client base. Act as a consultant, understanding clients' challenges and aligning solutions to meet th

Xendit is the financial technology platform built for businesses that move fast. We give companies one unified platform for payment acceptance, payouts, treasury and financial services, replacing fragmented local integrations with a single infrastructure layer. We serve businesses of every size, from high-growth startups to global enterprises, processing high-volume transactions across Southeast Asia and beyond, with more markets on our global expansion roadmap. About the Job We are seeking a technically-minded, client-facing Senior Solutions Engineer to join our regional/global go to market team. In this role, you will be the bridge between our enterprise clients and Xendit's product/engineering teams You will partner directly with our Account Executives and Account Managers to drive the technical win in complex sales cycles. You will listen to client needs, architect payment solutions across Xendit's 7-market licensed infrastructure, and guide clients from initial technical discovery through to successful integration and launch. This is a presales advisory role focused on deal velocity and technical credibility Minimum Qualifications Experience & Technical Background 6+ years of experience in a client-facing technical role, preferably in payments, fintech, or SaaS (e.g., Solutions Engineer, Sales Engineer, Solutions Architect, Integration Consultant). Strong understanding of APIs, webhooks, and SDKs. You can read code samples and explain technical concepts to engineers—even if you don't code daily. Familiarity with payment flows, acquiring, FX, and/or payouts is highly preferred. Experience working with regional/global enterprise clients is essential. Core Competencies Technical Fluency: You bridge the gap between business and engineering. You can whiteboard a solution architecture, troubleshoot API calls, and translate technical capabilities into business value. Client-Facing Presence: You are comfortable presenting to CTOs and lead engineers, handling

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. What you will be doing? We are looking for a Senior AI Engineer / Technical Consultant to bridge the gap between high-level strategy and technical execution. You will act as a "builder first, consultant second," designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems. Key Responsibilities Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs. Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices. Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability. Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines. Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives. Mentorship: Lead project workstreams and

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. Role Overview: You would be joining a new sales team focussed solely on selling our Fulfilment proposition. This proposition is a key driver in the growth of the wider business meaning you will be able to make a demonstrable impact quickly. This is a true hunter role where you would be managing end to end deal processes. The focus is on mid and enterprise level clients looking take products direct to a consumer. You will be armed with one of the strongest Fulfuilment propositions on the market, pushing automation and innovation. You can find more about our THG Fulfil proposition here: https://www.thgingenuity.com/fulfillment Key Responsibilities: Analyse existing client portfolios to identify revenue growth opportunities. Develop and execute strategies to upsell and cross-sell products or services that align with clients' business objectives. Build deep, trusted relationships with key stakeholders within the client base. Act as a consultant, understanding clients' challenges and aligning solut

About Hexnode Hexnode is a global leader in Unified Endpoint Management (UEM) , trusted by over 100 countries and managing millions of devices worldwide. With a rapid pace of innovation, we have established ourselves as a dominant force across Apple, Windows, Android, macOS, Linux, and tvOS. Fuelling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape. The role We are seeking a high-caliber Product Implementation Engineer with a deep understanding of the Cybersecurity landscape. In this role, you will be the technical architect behind our customers' success, ensuring that global organizations can seamlessly deploy and optimize Hexnode’s security solutions. You will act as a strategic consultant, bridging the gap between complex security requirements and technical execution. Note: This role operates in a global environment and requires the flexibility to work in shifts to support our international clientele. Responsibilities Strategic Solution Design: Partner with sales and technical teams to analyze customer requirements, translating complex business needs into scalable and secure architectures. Consultative Implementation: Lead the end-to-end deployment of UEM, MDM, RMM, and Patch Management solutions, customized to align with client-specific security policies. Technical Advisory: Act as a trusted technical advisor to IT Directors and stakeholders, providing authoritative guidance throughout the onboarding and implementation lifecycle. Cross-Functional Collaboration: Serve as a feedback loop between customers and our Product/Engineering teams to advocate for feature requests and influence the product roadmap. Complex Troubleshooting: Proactively diagnose and resolve intricate technical challenges encountered during the deployment phase, ensuring a frictionless experience for the client. Deployment Excellence: Guarantee precise configuration and flawless execution of Hexn

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organisations through data and AI. We combine the rigour of top-tier strategy consulting with deep expertise in data, digital and analytics to help clients achieve tangible business impact. With 2,500+ consultants, data scientists and engineers, we work with global leaders such as Samsung, L’Oréal, Orange and Sanofi. Our Zurich office is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. Main Responsibilities As an Engagement Manager in our Zurich or Lausanne office, you will work at the intersection of strategy consulting and data and AI delivery. You will: Strategy Development: Work with client leadership teams to address high-stakes questions. How can AI reshape our business model? How should we govern and organise for data? Which strategic programmes deliver the most impact? Structured Problem-Solving: Break complex challenges down into decisions a client can act on, combining consulting rigour with a working knowledge of what current AI can and cannot actually do. Solution Design: Turn a business question into a solution shape — what data it depends on, what kind of platform or product it should sit on, and what “good” looks like once it is built. You will do this alongside our data scientists and engineers, and you will be accountable for whether the design survives contact with production. Project Delivery: Run engagements end to end, from hypothesis framing and market and competitor analysis through to data maturity assessments, client workshops, governance design and implementation roadmaps. Feasibility & Economics: Own the answer to "will this work, and what will it cost". The evaluation approach, the unit economics per query or per case, and the point at which the business case stops closing. Client Enga

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do We are looking for Senior Manager, Anaplan to join our Anaplan Delivery Team! The Senior Manager, Anaplan will design best-in-class Anaplan solutions that meet the tailored needs of our clients. You will develop and cast the technical vision to internal model building consultants, and most importantly, to our clients, as we work to deliver the best possible solution to their challenges. Your design will account for data sources, integration layers, the underlying Anaplan model architecture, and the user interface, and you will have the opportunity to coach and train others along the way! Ideal candidates will be able to: Work as a Solutions Architect and lead the end-to-end design of an Anaplan Model Ability to run a project utilizing the Agile Implementation Methodology Ability to effectively communicate with client team and in client facing roles across various time zones based on client location Ability to work in Hybrid model (WFH and Office) Strong sense of responsibility and positive attitude Clear ability to teach both clients and internal resources with no prior Anaplan knowledge how to build a model. Guide a customer to enhance their process utilizing both Anaplan expertise and Subject Matter Expertise. Ability to have difficult conversations with a customer about scope and timeline in order to ensure the project timeline is

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Scientist, your primary role revolves around leveraging Python and SQL to conduct data science modelling, employing statistical and machine learning algorithms to derive actionable insights. Your responsibilities will encompass: Data Modeling: Developing and implementing sophisticated data science models to extract valuable insights from complex datasets. Algorithm Implementation: Applying statistical and machine learning algorithms to solve business problems and enhance decision-making processes. Visualization: Utilizing visualization tools like Tableau and PowerBI to present findings in a compelling and understandable manner. Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability. What we are looking for? Proficiency in Python, SQL, data science modeling, and statistical analysis. Strong grasp of ML algorithms and their implementation in real-world scenarios. Experience in visualization tools like Tableau and PowerBI, along with knowledge of deploying models on cloud platforms (MS Azure, GCP, AWS). Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have e

Job Description - Data Analyst Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… 1. What you will be doing? As a Data Analyst, your key responsibilities revolve around utilizing Python and SQL for data manipulation and analysis, coupled with leveraging visualization tools such as Tableau, PowerBI, and Web Applications to present insights effectively. Your primary duties include: Data Analysis: Employing Python and SQL to extract, clean, and analyze data to derive actionable insights. Visualization Techniques: Using Tableau, PowerBI, and Web Applications to create intuitive and insightful visual representations of data for effective communication. Statistical Understanding: Applying statistical concepts and understanding data structures to interpret data patterns and trends accurately. 2. What we are looking for? Technical Expertise: Proficiency in Python, SQL, and data manipulation for analysis purposes. Experience in data visualization tools such as Tableau, PowerBI, and Web Applications for creating interactive and informative dashboards. Solid understanding of statistics and data structures for accurate data interpretationProven problem-solving skills and a solution-oriented mindset. Attitude & Soft Skills: Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's