Risk Observability & Analytics Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description:

Responsibilities Include

• •Design, develop, and maintain scalable measurement frameworks that provide end-to-end visibility into control coverage, health, effectiveness, and behavioral performance.
• •Leverage AI Intelligence to optimize architecture and improve automation.
• •Engineer observability solutions that proactively monitor configuration changes, control performance, operational trends, risk signals, and testing outcomes.
• •Continuously assess risk posture against defined tolerance thresholds and identify areas that are within limits, approaching breach, or out of tolerance.
• •Identify directional trends across control populations, including improvement patterns, degradation signals, and early warning indicators.
• •Expose relationships between controls, technology assets, processes, and levels of criticality to identify where risk is concentrated and where failures may have the greatest impact.
• •Acquire, transform, enrich, validate, and reconcile data used within reporting, measurement, and control observability frameworks.
• •Develop lightweight integrations and automated data acquisition approaches across enterprise platforms, internal datasets, and operational data sources.
• •Engineer, implement, and maintain Key Risk Indicators (KRIs), Key Control Indicators (KCIs), Key Performance Indicators (KPIs), scorecards, and supporting measurement methodologies.
• •Design scalable metric architectures capable of supporting large populations of controls, technology assets, operational processes, and risk reporting use cases.
• •Translate stakeholder requirements into business rules, calculation logic, control measurements, analytical models, and repeatable reporting outputs.
• •Develop analytical models, dashboards, scorecards, executive reporting, and observability views that steer business decisions and improve risk management outcomes.
• •Analyze complex datasets to identify trends, anomalies, emerging risks, data integrity concerns, and opportunities for operational improvement.
• •Automate KRI reporting processes, governance deliverables, dashboards, observability, risk scorecards, and ticket workflow automation where appropriate.
• •Support Risk Control Observability reporting initiatives, scorecard development, stakeholder roadshows, and alignment with governance forums.
• •Identify opportunities to automate manual operational processes, legacy scripts, reporting activities, workflow handoffs, and analytical procedures.
• •Leverage Python, SQL, Snowflake, Power Platform, Power Automate, repositories, SDLC practices, source control, GitHub Copilot, and AI-assisted development to deliver scalable solutions.
• •Research and apply Generative AI, Cortex Platform capabilities, AI skills development, and emerging technologies to improve workflow automation, proactive risk identification, and capability enhancements.
• •Gather, document, and refine business requirements through direct stakeholder engagement, structured problem-solving, and strong communication.
• •Translate ambiguous business challenges into actionable analytical, engineering, automation, and reporting solutions.
• •Support product ownership, squad delivery, program leadership, roadmap development, prioritization, horizontal strategy, and executive-level presentations.

Qualifications and Skills Required:

• •5+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence.
• •2+ years of experience using AI development tools and frameworks.
• •Strong problem-solving and critical-thinking capabilities with the ability to decompose complex challenges into practical, scalable solutions.
• •Demonstrated ability to learn new technologies, business domains, platforms, and analytical methodologies quickly.
• •Excellent verbal and written communication skills with the ability to engage both technical and non-technical stakeholders.
• •Experience soliciting requirements from stakeholders and translating business objectives into measurable technical outcomes.

The base compensation range for this role in the posted location is: 72,000 to 96,900

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• •Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• •Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• •Life and disability insurance
• •Employee assistance programs
• •Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such a