• Principal implementation liaison on the project team translating and documenting customer expectations, business processes and goals to ensure implementation success • Lead a detailed business discovery and develop recommendations to execute a delivery approach that will drive outcomes and value • Translate technical requirements and execute system configuration setup (more complex than entry) • Establish and maintain strong successful customer relationships by utilizing excellent communication and collaboration skills • Act as a trusted advisor to the customer, build strong partnerships to develop implementation approaches that consider the impact to a customer’s business and daily workflows • Partner with internal stakeholders, including configuration and training specialists, to create and execute implementation plans that are on-time and with the highest quality to support customer satisfaction • In collaboration with the project team, proactively anticipate, identify, and communicate issues, risks, escalations, timelines and delays to ensure an exceptional customer experience and successful implementation • Lead, influence, advise and support customer change management strategies, including the plans for user readiness and acceptance. • Develop and maintain expertise and knowledge in multiple product offerings, including the knowledge of the end-to-end solution and product value outcomes • When needed, travel to customer on-site locations to lead and direct meetings and presentations

• Partner with Account Executives to drive the end-to-end sales cycle for Enterprise merchants, serving as the primary technical authority from initial discovery through contract execution. • Lead executive-level technical presentations and solution design sessions, building credibility with merchant CTOs, VPs of Engineering, and Heads of Product. • Own the technical validation process, including complex RFPs and high-stakes Proof of Concept (POC) engagements, ensuring a seamless transition from 'technical win' to implementation. • Design and architect API integrations tailored to each merchant’s industry, business practices and solution requirements. • Translate merchant requirements across new industries, payment models, and fulfillment operations into detailed integration schema, data flow designs, and data requirements. • Lead technical discovery with merchant engineering and product teams to define integration scope, data requirements, success criteria, and key milestones. • Ensure integration designs are scalable, maintainable, and aligned with Signifyd's platform capabilities and API standards. • Evaluate the fraud risk profile of novel merchant business models and recommend integration and data strategies most likely to produce strong model performance and financial guarantee eligibility. • Consult on data health by defining high-quality training signals for new merchant categories (Marketplace, Subscriptions, BOPIS) to ensure optimal model performance. • Analyze fraud risk profiles for novel business models, recommending integration strategies that maximize model accuracy and financial guarantee eligibility. • Partner with Data Science to validate model performance against merchant-specific datasets, ensuring Signifyd’s decisioning aligns with the client's risk appetite. • Serve as the technical voice of the merchant to Signifyd's Product and Data Science teams surfacing capability gaps, feature opportunities, and data requirements from the field. • Contribute meaningfully to the product roadmap with structured, evidence-based recommendations grounded in direct merchant feedback and competitive market dynamics. • Partner with Implementation Managers during complex onboardings to ensure continuity between what was architected and what is built.

• The Solutions Consultant will be a key deal strategist. Collaborate with Sales, Client Success and Consultant Relations to analyze prospective and current client needs, propose best-fit solutions, and help execute on a tailored growth/retention plan for the opportunities to which they are assigned. • Serve as a resident expert on product offering questions (current and roadmap), savings projections and other analytics, network footprint, quality methodology, technical integrations, member experience, success stories and general industry knowledge for the Commercial teams and prospective clients. They will tailor best practice recommendations around plan design, ecosystem integrations, targeted marketing, etc. to the prospect/client based on their expertise. • Support growth and retention by providing expertise throughout the sales and renewal/upsell process, including evaluating best fit solutions in collaboration with Health Plan and Channel Sales/Client Management/Consultant Relations, and ensuring thorough discovery is completed. • Act as a bridge to the rest of the organization, helping to bring together the appropriate internal stakeholders to support the deal (e.g., Consultant Relations and Channel Partnerships), and taking a key role in supporting presentations, product demonstrations and RFP’s. • Work internally to solution complex and/or non-standard prospective client requirements, across Product, Network, Analytics, Implementation, Operations, Legal, Finance, Member and Partner Marketing, Client Success and Clinical teams. Serve as a bridge between the sales process and ongoing Client Success to ensure proposal commitments are identified and delivered upon. Understand and answer custom RFP questions and follow-up inquiries/BAFO requests to create standard responses that are field-tested. • Share learnings and themes from the field back with cross-functional leadership for broader adoption into product packaging and go-to-market processes.

• Develop and maintain practical AI roadmaps for clients based on readiness, risk tolerance, and business value • Assess the current state of client AI capability and translate findings into clear, phased plans that stakeholders understand and can rally around • Define governance structures, decision frameworks, and success metrics appropriate to each tier of solution delivery • Stay actively current on the rapidly evolving AI landscape and translate industry developments into practical, actionable guidance for client environments • Advise clients on model selection, platform tradeoffs, and emerging capabilities across the LLM and GenAI ecosystem • Distinguish signal from noise in AI trends, helping clients invest in approaches with staying power rather than chasing the next headline • Use AI-native development workflows and agentic IDEs to rapidly prototype working solutions that make abstract concepts concrete • Demonstrate what is possible in working sessions with clients, reducing the gap between strategy and tangible output • Leverage prompt engineering and LLM-driven code generation to accelerate solution development • Help clients build a foundational understanding of agentic AI and what it can realistically do in their environment • Evaluate client use cases to assess whether agentic architectures are the right fit, or whether simpler approaches will deliver better outcomes • Guide clients through deployment decisions, including build vs. buy, orchestration tooling, and phasing of rollout • Serve as a knowledgeable translator between agentic AI capabilities and the practical, operational realities of the client's business • Evaluate and recommend data architecture patterns that protect PII and citizen data, particularly in public sector environments subject to regulatory oversight • Design guardrails, access controls, and governance policies that enable AI adoption without compromising security or public trust • Help clients distinguish between cloud-hosted AI solutions and on-premise or hybrid architectures based on their specific data residency and sovereignty requirements • Engage stakeholders at all levels, from executive sponsors to frontline staff, with approaches tailored to their concerns and readiness • Navigate organizational complexity and resistance with patience, credibility, and practical empathy, particularly in environments with significant fear around AI adoption • Lead workshops, demonstrations, and awareness sessions that build understanding and momentum without overwhelming or alienating participants • Coach client-side staff to build internal AI capability, reducing dependence on external support over time • Identify opportunities to create additional client value across engagements and contribute to Liberum's growing AI practice • Publish thought leadership — blog posts, white papers, or articles — that establish Liberum as a credible AI voice in the public sector • Speak at agency, industry, and conference events where appropriate, representing the practice externally • Serve as the named architect on flagship engagements and contribute to RFP and SOW work as the AI subject matter expert