About this role
SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Job Description
Automation Support Analyst (AI-Assisted)
Locations: Basildon, UK Location(s) | Hybrid
Get To Know Us:
SS&C is leading the way. We continue to look for todays and tomorrow’s brightest talent, those that embody a spirit to improve not only their lives, but those around them. From college students to seasoned and experienced professionals, we encourage you to apply. SS&C prides itself on hiring diverse, honest, dynamic individuals, who value collaboration, accountability, and innovation to name a few.
Why You Will Love It Here!
• Flexibility: Hybrid Work Model
• Your Future: Professional Development Reimbursement including access to SS&C University
• Work/Life Balance: Competitive holiday scheme
• Your Wellbeing: Competitive benefits designed to support the wellbeing of our staff
• Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
• Training: Hands-On, Team-Customised throughout your career
What You Will Get To Do:
Role Purpose
This role exists to grow the RPA Support team’s capability by bringing in AI-literate colleagues from Operations and developing them into confident automation support professionals. The role-holder will provide second-line support for the Blue Prism automation estate, use AI assistants responsibly and effectively in their day-to-day work, and progressively build hands-on RPA, infrastructure, and data skills with structured support from the wider team.
This is a development and progression role: the role-holder is not expected to arrive with deep RPA platform knowledge. What matters most is a strong production or operations support background, a sound analytical instinct, and genuine, confident use of AI tools to work smarter — plus the curiosity and discipline to build Blue Prism, infrastructure, and data capability over time.
“AI-literate” here means comfortable and effective using AI assistants to add value in daily work — not, from day one, building AI models, integrating LLM APIs, or developing agentic frameworks. This role is about applying AI sensibly, critically, and responsibly to accelerate everyday support work — with genuine scope to grow into those deeper technical AI-engineering skills over time, alongside RPA, infrastructure, and data capability, as experience and the needs of the team develop.
Key Responsibilities
RPA Application & Production Support
• Provide second-line support for Blue Prism automations across a large, business-critical estate (~250 processes), working alongside senior Support colleagues.
• Investigate incidents and failures using logs, control room data, process design artefacts, and runtime behaviour.
• Learn to distinguish process defects from environment, infrastructure, or data-related root causes, escalating appropriately while this skill is developing.
• Help identify and implement fixes for straightforward bugs, configuration issues, and minor enhancements, with support from senior team members.
AI-Assisted Ways of Working
• Use approved AI assistants (e.g. Copilot-style tools, enterprise LLM chat tools) to accelerate incident investigation, draft documentation, and summarise findings.
• Apply a working awareness of core prompting concepts — being specific, giving context, iterating on a prompt — to get more useful results from AI tools.
• Critically evaluate AI-generated output before acting on it: treat AI as a drafting and acceleration aid, not an authority, and sanity-check suggestions against the evidence.
• Contribute practical examples and lessons learned to help the team build a shared, sensible approach to AI-assisted support.
• Apply awareness of Responsible AI principles — data privacy, model limitations, and enterprise security guardrails — in all AI-assisted work.
Minor Development & Change Delivery (Developing Capability)
• Build confidence making small, low-risk changes to existing Blue Prism automations under guidance, in line with team standards.
• Work alongside developers and senior support colleagues to understand process logic, exception handling, and change-quality expectations.
• Coordinate low-risk changes through the agreed change control, release, and communication process.
Infrastructure & Data Awareness
• Build a working understanding of the platform and environment: servers, services, connectivity, scheduling, and resource constraints.
• Learn to recognise common environment and data-related failure patterns (e.g. credential issues, transaction backlogs, performance degradation) and know when and how to escalate to infrastructure or database teams.
• Support environment stability through proactive checks and monitoring insight, growing this capability over time.
Stakeholder Management & Communication
• Communicate clearly with operational stakeholders during incidents, covering impact, workaround, and resolution.
• Translate technical issues into language business stakeholders can understand — a strength this audience typically already brings from Operations.
• Build strong working relationships across Operations, Technology, and Business functions.
Incident, Problem & Service Management
• Manage incidents and defects through to resolution, remaining calm and methodical, and escalating appropriately during high-severity events.
• Maintain accurate records in ticketing, incident, and change management systems.
• Contribute to problem management by flagging recurring issues for root-cause investigation.
Knowledge Sharing & Capability Growth
• Create and maintain support docum
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