SS&C Technologies
AI-Led Product Researcher & Designer
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Lead AI-Led Product Researcher & Designer | London/Essex (Hybrid) – SS&C
About SS&C
SS&C — a leading financial services and healthcare technology firm — powers innovative digital products for global organisations. Headquartered in Windsor, Connecticut, we employ 27,000+ people spanning 35 countries, trusted by 20,000+ financial and healthcare entities to drive efficiency and technological-edge solutions.
The Opportunity
We’re seeking a visionary Lead AI-Led Product Researcher & Designer to own AI-driven transformation across our Product function by redefining research, design, and decision workflows using cutting-edge AI. This pivotal, industry-first role will fuse design and AI—moving beyond implementation to architecture entirely new ways of working.
You’ll democratise design, automate bottlenecks, and embed AI from Figma integrations to research synthesis, ensuring faster, smarter product development. The ideal candidate is an executive and thought leader with hands-on design research expertise, fluency in AI tooling, and a passion for enabling others to adopt AI-driven work practices.
Key Responsibilities
AI Transformation
- Own the AI-led transformation of design and research, setting clear vision, roadmap, and measurable impact for AI-infused workflows.
- Integrate AI across design toolchains (Figma + AI models like Claude, Claude Design, AI-coding pipelines) and automate manual tasks (e.g., component/bracket generation, design systems synchronization).
- Unlock "democratised design" so Product Managers and Business Analysts can rapidly prototype AI-generated high-fidelity designs within our systems, without burdensome time spent in Design.
- Customise AI-assisted research workflows, including automated synthesis, AI-enriched usability testing, and quantitative research interpretation.
- Advocate for AI-embedding at all levels, skills development, and cultural shift across Product functions.
- Update your team on evolving AI toolchains, and collaborate with Head of AI to assess new platforms for real-world implementation.
Research Leadership
- Shape the AI-driven global research initiative (user, competitor, and market research) to create continuous discovery capabilities—replacing ad-hoc research with real-time insights.
- Overhaul end-to-end research standards, ensuring:
- Applied methodologies, tooling, and processes for deep insights.
- AI tools for expanded reach and velocity in research findings.
- Validation engines for evidence-based design and strategic alignment.
- Collaborate with Product Analytics to:
- Design more personalized experiments (e.g., A/B or multivariate tests.
- Use AI to accelerate impact assessments.
- Act as the voice of research—educate stakeholders and raise the bar for user-centred design via data-backed recommendations.
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Design Leadership
- Lead AI-supported end-to-end Product Design, from basic concepts to fully automated deliverables:
- Layout automation, component design, design token propagation.
- Design-to-code pipelines (reducing handoff friction between Design and Engineering).
- Develop a scalable AI design system—ensuring efficiency, quality, and accessibility across touchpoints.
- Drive design thinking workshops to align interdisciplinary stakeholders on solving key challenges.
- Simplify quality management across UI arenas via AI-generated guidelines and compliance overlays.
Research: Leading Empirical Insight
- Execute mixed methodologies (e.g., user interviews, surveys, and paired AI-assisted synthesising) to validate user convergence (e.g., Unified Personas, journey maps).
- Build and AI-enrich our Intelligence repository, empowering faster access across teams.
- Compile competitor/ecosystem gap analyses to Map product opportunities/strategies.
Continuous Experimentation
- Frame AI-backed experiments (e.g., multivariant, conceptual pre-evaluations) to validate design and feature success.
- Monitor metrics including NPS (Net Promoter Score), satisfaction, adoption rates, transformation journeys and feedback-driven insights using AI for automated pattern recognition.
- Share findings to Product teams, ensuring Experimentation knowledge becomes a resource for agile decision-making.
Decision Support & Storytelling
- Refine complex research insights into impactful narratives—adapting for both tech and non-tech audiences.
- Author personas, storymaps and customer behavioural frameworks while leveraging AI tools to curate and update them efficiently.
- Deliver clear presentations, reports, and storytelling via data/insights, embedding them in Decision-Making cycles.
Culture & Collaboration
- Work with Product Management and Analytics to ** έχεται continuous discovery as standard practice**.
- Champion a culture of experimentation within the Design ecosystem—ensuring openness drives AI in stakeholders.
- Coach내함 to AI literacy, sharing best practices on maximising transformative AI potential.
Your Profile
Experience & Credentials
- Bachelor’s degree in a relevant discipline. A postgraduate (e.g., MSc in Human-Computer Interaction, Product Design Research) is highly desired.
- Minimum 4+ years senior experience as a UX Researcher, Product Designer, or Research/Design Lead.
- Fluency in state-of-the-art design and research processes), understand AI adoption nuances;
- Specifically, hands-on experience integrating AI into UX (e.g., Figma AI, AI-generated components, AI-driven testing).
- Hands-on Kindle seeking fresh perspectives and collaborative problem-solving. partner in shaping thought leadership, has presence of guiding executives. style in AI tooling, and ambidexterity building out new practices and upskilling teams—note having "/ editing/beyond theoretical".
- Experience working "end-to-end" in product development, incorporating collaborative prioritisation (e.g., surveys, ethnography, analytics).
- Translated insights into actionable product strategy and tangible commercial impact.
AI & Technical Proficiency
- Intuitive with AI tools, including:
- Claude/claude AI, Copilot, Lovable, v0, or Pi. OpenAI interfaces; forwards models for automating end goals.
- Having hands-on skills in integrating with Figma and code channels for both research and design inputs.
Research Methodologies
- Proficiency in qualitative (e.g., interviews, usability testing, workshops) and quantitative approaches (e.g., surveys, studies).
- Advanced use of industry tools like Maze, Typeform, Hotjar, and Dovetail.
Soft Skills
- Strong analytics skills, ensuring efficient synthesising and usability storytelling.
- Diplomatic yet persuasive soft-side skills, sound storytelling presentation.
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Why Join SS&C?
Culture of Growth & Connectivity
- Build knowledge together via SS&C University as a team—crafting customized learning each stage of your career.
- Thriving hybrid policy structure enabling flexible ownership for balance.
Upskilling & Inclusion
Unique commitment to celebrating all talents— Bring your unique background!
Well Being & Happiness
- Tailored career growth: transparent opportunities tailored to you, both team and relationship-building.
- Wellness priorities: health and lifestyle buffers (e.g., holiday well-being policies).
Equal Opportunity & Inclusivity
SS&C’s commitment includes consideration beyond embodied differences. We believe in embracing and thriving on individual perspectives—commitment reflected throughout from translate contributions though to ** guard Humanizing spaces**.
Basics: Apply Now
Interested? Apply for null/non-AI changes, automated resume processing to support well-being and culture! Visit SS&C Careers Page or reach out [email/phone info - not added here].
Summary Sethumbasam: SS&C Technologies is an EEO employer. We strongly commit to our DG&I champion and ensure facility upwards regardless of background ER.Revision date: keep all elements, no paraphrasing. Kindle transparency varied, but AI + design + research expertise!
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