Finastra

Director

• Drive cohesive retail product portfolio execution across the Lending organization.
• Oversee product roadmap governance, cross-functional alignment, and end-to-end readiness.
• Manage the Product Delivery Management (PDM) function and enable organizational planning rituals.
• Lead product roadmap governance and alignment to strategic goals, customer needs, and capacity constraints.
• Facilitate cross-product alignment across Product Heads, Technology, Operations, and Sales partners.
• Provide program oversight for key strategic initiatives and special projects.
• Develop, maintain, and enforce Product Standard Operating Procedures (SOPs).

Director, Product Portfolio Management

Product Manager

• Gain a deep understanding of the customer experience, identify and fill product gaps, generate new ideas that grow marketshare, and drive growth.
• Manage the entire product lifecycle from strategic planning through go-to-market.
• Identifies product market opportunities through market research, customer profiling, needs analysis, market sizing and competitive analysis.
• Serves as the key contact for product questions and new product ideas which surface from customers, sales, or market research.
• Identifies and analyzes critical issues related to the product design and promotion of the product(s).
• Translates product strategy into recommendations and feature definition to address market opportunities.
• Provides overall direction for product enhancements and general product development requirements.
• Works with product marketing department to develop effective communication activities and programs including product positioning and collateral development.
• Lead product focus groups.
• Lead user conference sessions and general industry topics.
• Develop and implement methods and procedures for monitoring projects such as preparation of records of expenditures and research findings, progress reports and staff conferences, in order to inform management of current project status.
• Manages the resolution of escalated customer problems.
• Escalates problems and issues to other departments when needed.
• Develops proper and thorough documentation (internal and external) describing enhancements as appropriate.
• Identifies continuous improvement opportunities for Product Management processes.
• Vendor Management including maintaining a directory of vendors with contact information and other pertinent data as well as analyzing potential future partner relationships.

Sales Operations Manager

• The Sales Operations Lead plays an instrumental role in supporting the Sales Leadership Team through business insight, driving internal sales processes, identifying areas for improvement, and executing on them to support profitable sales growth.
• Insight & Analysis: Ongoing and ad-hoc deep-dive analyses on pipeline health, sales velocity, attainment forecasts and emerging business trends.
• Data-driven recommendations to sharpen decision-making and pinpoint improvement opportunities.
• Develop executive-level dashboards and scorecards to monitor key performance metrics.
• Partner with Data & Analytics teams to enhance data integrity, automation, and self-service reporting capabilities.
• Translate business insights into clear, actionable narratives for Sales Leaders and CROs.
• Sales Planning & Go-to-Market Alignment: Annual and quarterly territory planning, quota setting and resource deployment to ensure balanced coverage and realistic goals.
• Integrate GTM strategies with operational processes for maximum cost-effectiveness and speed to revenue.
• Collaborate with Finance, Commission Team and Sales Leaders on headcount quotas and incentive plans.
• Manage quota methodology frameworks incorporating historical performance, addressable market potential, pipeline, etc.
• Maintain territory design logic and account hierarchy alignment in SFDC ensuring consistency across all BUs.
• Partnering with Marketing/Demand Gen on segments and ensuring operational readiness for campaigns.
• Forecasting & Pipeline Management: End-to-end framework for accurate, predictable forecasting and pipeline hygiene.
• Monthly/quarterly cadence (“Rhythm of Business”) to validate assumptions, identify gaps and drive course-corrections.
• Monitor deal velocity, pipeline age, and conversion rates to flag risk areas early.
• Drive governance on forecasting standards and pipeline definitions to ensure consistency across BUs.
• Process Orchestration & Tool Adoption: Single point of contact for all Sales Leaders—aligning Demand Gen, Deal Execution, Forecasting and Performance Management.
• Drive CRM and common tool adoption, process compliance and continuous process improvements.
• Lead cross-functional process reviews with Finance, Retention Team, Sales/CRO Functions.
• Define and maintain documentation for core sales processes and system workflows.
• Identify automation opportunities within SFDC and PBI to reduce manual workload and improve accuracy.
• Serve as process SME for transformation programs (e.g., Revenue Cloud, SFDC alignment with Commercial Policy, Lead to Cash).
• Onboarding & Productivity Enablement: Accelerate ramp time for new hires through standardized processes, playbooks and shared-services coordination.
• Free up seller capacity by streamlining admin tasks and reinforcing best practices.
• Partner with Sales Enablement and HR to define onboarding success metrics and monitor ramp-to-productivity progress.
• Create and maintain a Sales Ops knowledge base, training materials, and tool guides for consistent learning.
• Facilitate enablement sessions to drive adoption of systems and processes.
• Continuously gather feedback from end users to enhance processes and improve adoption.

Sales Operations Lead

DevOps Engineer

• Implement and manage CI/CD pipelines using GitHub Workflows and Azure DevOps.
• Provision and manage cloud resources using Terraform and Azure Kubernetes Services (AKS).
• Manage containerized applications using Azure Container Services and Docker.
• Develop and maintain Helm Charts for efficient application deployment.
• Ensure the secure handling of secrets and application variables through DevOps practices.
• Conduct Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) using tools like Checkmarx, Veracode, SonarQube, and AquaScan.
• Write and maintain scripts using languages like PowerShell, Python, or Bash to automate tasks and manage configurations.
• Integrate automated testing at every stage of the CI/CD pipeline to ensure code correctness and quality.
• Perform integration testing and performance testing to validate application functionality and efficiency.
• Monitor system health and performance using Grafana, Prometheus, Azure Monitor, and App Insights.
• Apply Shift-Left Testing principles to ensure quality is built into the software from the start.
• Collaborate with cross-functional teams across multiple time zones and environments to ensure efficient project delivery.
• Provide ongoing support for cloud infrastructure and containerized applications, troubleshooting and resolving issues as they arise.

Senior DevOps Engineer

Product Analyst

• Author business requirements and feature definitions for financial services software products
• Act as a product subject-matter expert with a strong understanding of features, functionality, and use cases
• Work with the business team and stakeholders to define scope, costs, and timelines for enhancing existing products or implementing new ones
• Partner with the product design team to understand product feasibility and technical limitations
• Manage and maintain the product backlog, prioritizing items based on evolving requirements
• Collaborate with cross-functional teams throughout the product development lifecycle
• Monitor and evaluate product progress at each stage of development
• Conduct acceptance testing and develop specifications for integrated test cases
• Develop comprehensive internal and external documentation describing product changes
• Collaborate with Product Managers to support go‑to‑market efforts and improve product sales and revenue
• Demonstrate new feature functionality or product usage to internal or external stakeholders as needed
• Provide guidance and direction to less experienced team members in business systems analysis concepts; may design and deliver training plans
• Identify continuous improvement opportunities across Product Management and Software Development Life Cycle processes
• May act as a project team lead, facilitating meetings, webinars, and focus groups
• Serve as a liaison with Support, Sales, and other stakeholders to address client escalation questions
• Perform other duties and project work as assigned

Mortgage Product Analyst

Business Analyst

• Partner with internal teams and external vendors to embed our AI playbook across all businesses and functions.
• Support the review and assessment of AI use cases, focusing on feasibility, alignment with business strategy, and potential value creation.
• Collaborate with the Risk team to ensure compliance with our responsible AI framework including our legal, governance, privacy and security review.
• Manage our portfolio of AI initiatives, ensuring prioritization, clear ownership, timely delivery and clear communication across teams.
• Support cross-functional change management efforts that enable enterprise-wide AI adoption.
• Provide clear, insightful executive‑level updates to the Executive Leadership Team including progress updates, risks, dependencies and roadblock resolution.
• Support senior leaders in preparation for Board discussions, including creating briefing materials on program performance and impact.
• Measure and track value created through AI adoption (e.g., revenue generation, quality improvements, efficiency, and effectiveness).

Lead Business Analyst – Gen AI Strategy

Data Analyst

• Own PowerBI reporting for all lending products, ensuring consistent, trusted dashboards and metrics.
• Define and maintain core product metrics across roadmap planning, releases, and outcomes, including: Revenue per product and feature, Value realization and ROI, Adoption and usage indicators.
• Provide ongoing trend analysis and insights to inform product prioritization and strategic decision-making.
• Partner with Product Delivery, Engineering, and Operations teams to surface early warning indicators and improvement opportunities.
• Track client versions, implementations, and upgrades across the lending portfolio.
• Provide visibility into version distribution, upgrade readiness, and client exposure.
• Deliver insights on finance, booking, and sales performance, connecting product activity to commercial outcomes.
• Support leadership with data for QBRs, MBRs, and strategic planning cycles.
• Own governance reporting for Product Operations, ensuring transparency and audit readiness.
• Track and report on timesheet compliance, capacity utilization, and operational health indicators.
• Lead and support special analytics projects as needed to enable strategic initiatives.

Data Management & Analytics Manager

Manager

• Planning & Portfolio Process Management: Support PI Planning, ongoing prioritization, and quarterly planning activities across assigned products.
• Manage portfolio lifecycle gates (PLM) and ensure all artifacts, approvals, and checkpoints are met.
• Maintain alignment and structure between Aha and Jira, ensuring the “layer cake” view remains accurate and consistent.
• End-to-End Delivery: Lead cross-product program delivery, ensuring all dependencies, milestones, and risks are actively managed.
• Coordinate pilot programs, overseeing rollout plans, feedback loops, and success metrics.
• Drive delivery execution for releases and hotfix versions, partnering with CPO, CTO, and COO teams to prioritize and resolve issues.
• Risk, Issue & Escalation Management: Partner with CTO and COO organizations to manage risk, issues, and ERM processes, ensuring transparent tracking and mitigation.
• Conduct customer impact assessments for key changes, hotfixes, or release adjustments.
• Manage, track, and prioritize escalations in partnership with CTO and CPO teams, ensuring rapid triage and cross-functional alignment.
• Client & Stakeholder Communication: Track clients, latest versions, implementation or upgrade status as required.
• Support client communication related to release timelines, notes, and updates in partnership with Product Heads, Sales, and Operational teams.
• Ensure internal and external stakeholders have accurate, timely visibility into delivery progress.
• Release & Change Management: Lead the Release & Change Management process, including weekly, monthly, and quarterly cycles.
• Oversee the Release Readiness process, ensuring all packages, documentation, approvals, and dependencies are complete prior to deployment.
• Track and follow up on outstanding items to ensure release adherence and quality.
• Tools, Reporting & Operational Excellence: Manage Kantata tasks and reporting requirements for each release and Hotfix.
• Manage the Aha reporting process to ensure transparency and consistency across teams.
• Contribute to continuous improvement of product delivery processes, tooling, and KPIs.

Principal Product Delivery Manager

Risk

• Design and implement risk assessment processes leveraging AI and machine learning for predictive analytics, anomaly detection, and scenario modeling.
• Develop dashboards and automated workflows to improve risk visibility and accelerate decision-making.
• Conduct enterprise-wide and targeted risk assessments to identify emerging risks and control gaps.
• Quantify risk exposure using advanced data analytics and provide actionable insights to leadership.
• Ensure Compliance with regulatory frameworks (COSO, NIST, ISO 27001, FFIEC).
• Use AI-driven monitoring solutions to validate key controls and detect deviations in real time.
• Establish automated alerts and reporting for high-risk indicators.
• Work closely with IT, Cybersecurity, Compliance, and Audit teams to embed AI-enabled risk practices across the organization.
• Serve as a trusted advisor to business leaders on risk trends and mitigation strategies.
• Champion the adoption of emerging technologies in risk management.
• Continuously evaluate AI tools and methodologies to enhance risk assessment maturity.

Enterprise Risk Consultant

Product Marketing

• Define and deliver global marketing strategy for Payments across regions and segments.
• Represent Payments in cross-BU marketing initiatives and ensure alignment with corporate objectives.
• Influence positioning, messaging, and differentiation for all Payments offerings.
• Ability to manage budgets and deliver measurable results.
• Develop and execute end-to-end GTM plans for launches, messaging, and positioning.
• Train Sales and other Payments teams on product positioning and value propositions.
• Create and maintain sales enablement tools (playbooks, pitch decks, competitive battlecards) and ensure accessibility (Highspot).
• Oversee global campaign execution across digital and paid channels, including performance tracking and lead handover to SDRs.
• Drive global thought leadership initiatives.
• Lead analyst engagement for market positioning, Magic Quadrant, and RFI responses.
• Collaborate with PR for media coverage and brand amplification; secure representation at industry events and webinars.
• Leverage insights to optimize messaging and positioning; identify award opportunities to enhance visibility.
• Drive integrated campaign topics and messaging across digital channels to generate pipeline.
• Champion adoption of AI-driven marketing tools and explore new engagement channels.
• Stay ahead of emerging trends in payments and fintech product marketing.

Head of Product Marketing, Payments

Account Executive

• This role will develop and execute account strategies to drive client retention and growth within a defined portfolio of accounts and/or territory.
• As the strategic point of contact in selling Finastra solutions, it will require coordinating the involvement of internal stakeholders, including senior management, in order to meet account performance objectives and client expectations.
• Establish a joint strategy and plan for the named accounts to drive continued investment and expansion of existing Finastra products and the identification of new opportunities for growth across Finastra products and solutions.
• Build strong and positive relationships with clients at various levels including executives across business and IT domains maintaining regular touch points.
• Lead and collaborate the extended Finastra team for account planning, new project opportunities and to ensure business objectives and customer expectations are met.
• Establish and maintain a deep understanding of the client operating environment, their business objectives, strategic initiatives, key stakeholders and influencers in the relevant business domains.
• Identify new sales opportunities and build a pipeline for Finastra products and services, engage and support internal stakeholders such as Solution Consultants and/or Sales Executives to advance the sales pursuit to close.
• Act as a point of escalation for client resolution on issues.
• Ensure client challenges are resolved in a timely and professional manner and comply with agreed upon Service Level Agreements.
• Establish regular business update meetings with appropriate client personnel to provide visibility to Finastra products and solutions and align to client initiatives.
• Ensure and maintain sales forecasting data in sales reporting system to allow for opportunity management and reporting.
• Close business to meet forecast commitments and sales quotas.
• Maintain well documented knowledge about clients’ businesses via Account Plans and in sales tracking system.
• Provide monthly sales status updates.
• Stay abreast of current industry trends, competitors, and current/new company products and services.

Senior Sales Executive

Artificial Intelligence

• Lead a team of AI engineers, providing technical guidance and support.
• Research, Design and implement GenAI solutions.
• Foster an inclusive, innovative team culture focused on learning and collaboration.
• Keep up with AI research and trends, integrating relevant innovations into our solutions.

AI Manager

• Support the planning and execution of corporate AI initiatives, including pilots and enterprise rollouts.
• Analyze business processes across Finance, Operations, Sales, and Marketing to identify high-impact AI use cases.
• Evaluate vendor solutions versus in-house development for AI platforms and tools.
• Contribute to frameworks for AI ethics, compliance, and risk management.
• Develop programs to educate stakeholders on AI capabilities and ensure smooth adoption.
• Build ROI models and cost-benefit analyses for AI projects.
• Define KPIs and monitor impact on efficiency, revenue, and customer experience.
• Stay ahead of emerging AI technologies relevant to corporate functions.

AI Business Analyst – Corporate Strategy

Threat Intelligence Specialist

• Design & Build: Define intelligence processes and frameworks for market analysis.
• Select Tools: Choose and implement CI platforms, data subscriptions, and AI-driven analytics.
• Run Operations: Deliver recurring and ad hoc insights to stakeholders.
• Scope of Operations Includes: Market trends, industry updates, and regulatory changes Analyst reports and external research Strategic deep dives for leadership Market sizing and forecasting.
• Collaborate: Work with Strategy, Product, Sales, and Marketing teams.
• Improve: Suggest automation and best practices for efficiency.

Senior Market Intelligence Analyst

• Requirements Gathering: Engage with stakeholders to capture functional and non-functional requirements for AI initiatives.
• Technical Translation: Convert business needs into detailed technical specifications for data science and engineering teams.
• Build vs Buy Analysis: Assess vendor solutions versus internal development for AI platforms and tools.
• Solution Feasibility: Evaluate data readiness, integration points, and technical architecture for AI pilots.
• Process Mapping: Document workflows and identify automation opportunities using AI.
• Testing & Validation: Support UAT and performance testing for AI-enabled solutions.
• Documentation: Maintain clear and comprehensive technical documentation for AI projects.
• Governance Compliance: Ensure technical designs align with security, scalability, and regulatory requirements.