Strategic Business Development Lead

Senior SAP SD/MM Developer

Senior Application Developer - ERP

Legal Workflow Automation Executive

Legal Workflow Specialist

Forward Deployed AI Strategist

Finance Business Partner

Engineer, Senior - Equipment

Sales Operation Analyst

Technical Delivery Manager - Temenos Triple A+ (Private Banking) – VP2

Responsibilities: <ul><li>Partner with Account Executives / Strategic Account Managers to research prospects, shape pursuit strategies, and drive opportunities from qualification through close (new business and expansion), including positioning, objection handling, driving stakeholder alignment.</li><li>Engage managing partners, practice chairs, firm leadership, and senior in-house counsel to understand priorities and position us as a trusted partner in legal AI and workflow transformation.</li><li>Lead senior-level discovery and structured workflow analysis to diagnose challenges, map decision makers / champions, and identify value levers, inefficiencies, and measurable ROI opportunities.</li><li>Translate legal workflows into clear, commercially compelling use cases and solution strategies, aligned to practice areas and client strategic objectives.</li><li>Design and deliver tailored, insight-led demonstrations and high-impact presentations that connect workflow insight, product capability, and commercial outcomes across 1:1, small group, and large group settings.</li><li>Develop bespoke proof-of-concept engagements to validate value and build confidence; serve as the Voice of the Customer by partnering with product/engineering/marketing/strategy, informed by customer/competitor/market research, and represent us at industry events and executive briefings.</li></ul> Requirements: <ul><li>For US-based employee, have a JD</li><li>For UK-based coverage, be a Qualified Solicitor (England &amp; Wales) with 3+ years PQE • 3+ years of experience in leading law firm (Top 50) or in-house experience in large corporation</li><li>Background in corporate, finance, disputes/litigation, or other complex practice areas with demonstrable client-facing experience (preferred).</li><li>Have experience establishing credibility with partners, firm leadership, and senior in house counsel through strong executive presence, legal expertise, and AI fluency.</li><li>Deliver persuasive, insight-led presentations and demonstrations that engage both legal and business stakeholders (including impromptu whiteboard-style and formal presentations/demos).</li><li>Demonstrate a deep understanding of legal workflows, legal service delivery models, and emerging legal technology trends - able to translate this into tailored, workflow-specific value narratives.</li><li>Demonstrate curiosity, intellectual enthusiasm, and conviction about how AI and legal technology can transform legal workflows and client delivery.</li><li>Operate effectively in a target-driven, revenue-accountable role with a clear commercial mindset (pipeline/revenue ownership).</li><li>Collaborate effectively across teams (sales, marketing, product, client success) to deliver unified client engagement strategies. Sales or customer-facing experience (including law firm business development, secondment, or experience directly managing law firm client matters/relationships) is a plus.</li><li>Partner with Account Executives / Strategic Account Managers to research prospects, shape pursuit strategies, and drive opportunities from qualification through close (new business and expansion), including positioning, objection handling, driving stakeholder alignment.</li><li>Engage managing partners, practice chairs, firm leadership, and senior in-house counsel to understand priorities and position us as a trusted partner in legal AI and workflow transformation.</li><li>Lead senior-level discovery and structured workflow analysis to diagnose challenges, map decision makers / champions, and identify value levers, inefficiencies, and measurable ROI opportunities.</li><li>Translate legal workflows into clear, commercially compelling use cases and solution strategies, aligned to practice areas and client strategic objectives.</li><li>Design and deliver tailored, insight-led demonstrations and high-impact presentations that connect workflow insight, product capability, and commercial outcomes across 1:1, small group, and large group settings.</li><li>Develop bespoke proof-of-concept engagements to validate value and build confidence; serve as the Voice of the Customer by partnering with product/engineering/marketing/strategy, informed by customer/competitor/market research, and represent us at industry events and executive briefings.</li></ul>

Responsibilities: <ul><li>Requirements Solutioning: Lead workshops to capture business requirements, analyze gaps, and propose scalable SAP solutions.&nbsp;</li><li>Configuration &amp; Design: Build and maintain complex SAP configurations aligned with business goals (MM,SD).&nbsp;</li><li>Testing &amp; Deployment: Manage functional testing, defect resolution, and deployment of new releases and enhancements.&nbsp;</li><li>UAT &amp; Training Support: Guide business users through User Acceptance Testing and deliver training to Super Users and end users.&nbsp;</li><li>Process Optimization: Advise stakeholders on process improvements and challenge unnecessary customizations.&nbsp;</li><li>Stakeholder Engagement: Collaborate with cross-functional teams including developers, product managers, and business leads to ensure alignment and delivery.&nbsp;</li><li>Application Support: Provide expert-level support for SAP Operations processes and integrations with external systems (e.g. TMS, GTS, Plant systems, EDI).&nbsp;</li><li>Workstream Leadership: Represent the Operation workstream in project governance, plan staffing and budget, and mentor junior team members.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 8 years of relevant work experience&nbsp;in SAP MM and/or SD modules.&nbsp;</li><li>Experience with SAP S/4HANA.&nbsp;</li><li>Strong functional leadership with a focus on business process optimization.&nbsp;</li><li>Familiarity with ABAP is advantageous but not required.&nbsp;</li><li>Excellent communication and stakeholder management skills.&nbsp;</li></ul>

Responsibilities: <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Builds and drives complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures.</li><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs and drives the design, configuration, testing, deployment, and support of changes and fixes, in accordance with established standards and practices.</li><li>COMMUNICATION &amp; SUPPORT: Plays a key role and keeps an open channel of communication with stakeholders and responds to support requests and needs.</li><li>APPLICATION SUPPORT: Conducts and leads advanced and complex application support activities to maintain system stability and meet business outcomes.</li><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers, &amp; vendors in multi-functional global teams, to ensure solutions and configurations align with business requirements and best practices.</li><li>INCIDENT &amp; REQUEST MANAGEMENT: Leads prioritization of incoming incident tickets &amp; user requests and driving timely resolution&nbsp;&nbsp;</li></ul> Requirement: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.</li></ul>

Role Description: <ul><li>As a Legal Workflow Automation Executive , you collaborate closely with top legal teams to leverage Generative AI in automating legal processes—designing intelligent workflows that streamline operations, enhance efficiency, and empower firms to make more informed decisions.</li><li>Your role centres on identifying automation opportunities, demonstrating practical AI-driven solutions, and guiding adoption to ensure measurable improvements from initial implementation through to scalable impact.</li></ul> Responsibilities: <ul><li>Partner with lawyers and legal operations leaders to unpack real world legal workflows, pain points, and inefficiencies.</li><li>Translate legal work into high value workflow use cases supported by AI and trusted legal content.</li><li>Design and deliver tailored product demonstrations, training sessions, and workshops aligned to specific practice areas and team needs.</li><li>Support the full client journey in partnership with Customer Success — from pilots and onboarding to firm wide or department wide adoption.</li><li>Act as a strategic sounding board for clients evaluating the ROI, risk, and operational impact of AI in legal practice.</li><li>Represent the customer internally by feeding insights into product development, roadmap prioritisation, and go to market strategy.</li><li>Capture best practices and contribute to repeatable playbooks that help scale this function locally and globally.</li></ul> Requirements: <ul><li>A recognised legal qualification (LLB or equivalent).</li><li>A minimum of 3 years’ experience practising law within a top tier law firm, corporate legal team, or public sector legal environment.</li><li>A strong understanding of legal workflows, legal processes, and the practical realities of delivering legal services.</li><li>Proven confidence engaging with senior legal stakeholders, with the ability to establish trust and credibility quickly.</li><li>Clear, persuasive communication skills, with the ability to engage legal, operational, and executive audiences effectively.</li><li>A genuine interest in legal technology and the application of AI to enhance the quality and efficiency of legal work.</li></ul>

Responsibilities: <ul><li>Design and deliver onboarding tailored to South African firms, practice groups, and in‑house legal teams.</li><li>Lead interactive training sessions that demonstrate AI‑enabled workflows across research, drafting, review, and knowledge management</li><li>Create clear, practical training materials, including guides and short videos.</li><li>Engaging in-house legal teams to understand their daily workflows and creating tailored AI solutions (e.g., Protégé Workflows) to enhance existing processes, improve outcomes, and increase productivity and ROI.</li><li>Monitor product usage across SA clients and drive increased utilisation, particularly in high‑volume corporate, regulatory, and litigation practices.</li><li>Identify adoption obstacles specific to SA legal environments</li><li>Demonstrate measurable client value, including efficiency gains, quality improvements, risk reduction and consistency.</li><li>Work with customers to understand existing processes and design improved, AI‑supported workflows.</li><li>Configure workflows to align with client preferences, practice‑area needs, and organisational standards.</li><li>Share proven approaches and best practices to support learning across the customer base.</li><li>Represent customer perspectives internally, translating feedback into clear, practical insights.</li><li>Partner with product and development teams to inform future improvements.</li><li>Support testing of new features, focusing on usability, accuracy, and real‑world application.</li></ul> Requirements: <ul><li>Admitted Attorney (LLB required; articles completed).</li><li>2–5+ years post‑admission</li><li>Exposure to complex legal workflows—corporate, commercial, litigation, regulatory or similar.( advantageous)</li><li>Confidence communicating with a range of stakeholders and delivering clear, engaging presentations or training</li><li>Ability to “translate” legal workflows into repeatable, technology‑enabled processes.</li><li>An interest in legal technology and curiosity about how AI can support better legal outcomes</li><li>Excellent relationship‑building, active listening and stakeholder‑management skills.</li><li>Data‑driven mindset with the ability to articulate value and ROI</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>The Finance Business Partner, Operations will be providing timely, relevant and accurate information and insightful analysis to facilitate decision-making of senior management.</li><li>Developing the capability to drive swift data extraction and visualization bringing visibility and transparency of key business metrics.</li><li>Focused on finding meaningful insights to support continued and sustainable profitable growth of the our client business.</li><li>Drive improvement in the conversion cost and site fixed overhead vs budget and historical periods.</li><li>Also, bringing actionable insights, identity focus areas and run simulations for site management to optimize the cost level, in line with forecasted business activity.</li><li>Need monthly tracking and action monitoring, working collaboratively with site teams across different functions, and create visibility with global manufacturing team on the improvement actions.</li><li>Drive digital transformation journey of finance function and be instrumental in increasing utilization of BI tools, especially Power BI.</li><li>To include developing the dashboards and power query models required to achieve efficiency in data extraction and visualization.</li><li>Understand diverse internal and external data source and its architecture.</li><li>Able to integrate various data source for seamless automation of business analysis resulting in optimization of core financial workflows, enhancing efficiencies.</li><li>Able to perform analysis using large complex dataset, enhance the reports to improve performance tracking against targets and trend identification.</li><li>Effective contribution in annual budgeting and monthly forecasting process, such as developing templates for end-to-end budget planning and forecasting process.</li><li>Build and foster strong cross-functional relationships across business constituencies and stakeholders specially group support functions like Supply Chain, Manufacturing Ops and Procurement. Help the company understand how the pieces fit together to drive performance and strengthen the team’s partnership and influencing skills in pursuit of growth.</li><li>Price, Mix and Volume Analysis for Margin Improvements</li><li>Proactive participation in various business improvement/ad hoc projects.</li><li>Manages the overall Financial Reporting and Analysis activities in the production and delivery of all standard reporting (including template and chart updates), ad hoc reporting, presentation materials; and non-pricing / profitability (costing) analysis for the business, in accordance with defined standards.</li></ul> Requirements: <ul><li>At least 8-10 years’ work experience in Finance with at least 6 years’ experience in FP&amp;A</li><li>Experience working in manufacturing environment is a must</li><li>Strong business acumen.</li><li>Strong financial, technical, and quantitative analytical skills</li><li>In-depth knowledge of accounting principles, practices and regulatory issues and their application to a wide variety of areas</li><li>Ability to take ownership of a task or process, and see it through from inception to completion</li></ul> Preferred Skills <ul><li>Proven track record of developing and implementing value-added financial analysis</li><li>Self-awareness and ability to handle tight deadlines and manage complex business challenges</li><li>Demonstrated experience in analyzing and synthesizing complex financial data into meaningful executive summary statements</li><li>Excellent verbal and written skills, analytical thinker / problem solver, interpersonal skills, attention to details</li><li>Advance Excel skill, MS office and data management, Power BI skill is added advantage</li></ul> Key Relationships with Internal and External Stakeholders <ul><li>Operational Leadership</li><li>Site Finance Controllers</li><li>Group Finance Team</li><li>Site GMs and Operation team</li></ul> Additional Notes <ul><li>Sound financial knowledge with Chartered Accountant background</li></ul>

Responsibilities: <ul><li>Drive cost reductions weed out unwarranted expenses/wastages and improve equipment performance.</li><li>Drive equipment fault investigations and continuous improvement programs to resolve chronic equipment issues, and institute permanent resolutions to assure product quality and enhance process robustness.</li><li>Enforce on equipment maintenance controls and execution to conform to work instructions and procedures. Apply hands-on and with deep involvement at work.</li><li>Coach, guide and train engineers and technicians in equipment problem solving and analysis to build up their technical competencies and achieve self-sustenance.</li><li>Manage his team of technicians in providing effective support on production equipment.</li><li>Provide effective equipment trainings to the technicians to build up their technical and skill competencies.</li><li>Ensure non-conformance is dealt with in a proper and effective manner.</li><li>Take accountability of work and possesses strong sense of responsibility and teamwork.</li><li>Manage and control spare parts availability and costs.</li><li>Manage vendor services and supports and ensuring compliance with factory protocol.</li><li>Establish, review, and perform regular update of PM procedures, Risks Assessments and Troubleshooting guidelines.</li><li>Create technical specification for new and transferred equipment.&nbsp;</li><li>Execute the equipment move-in, installation, set up and buy-off, meeting set timelines.</li><li>Compliance with CSR, EHS, QM, ESD, 5S standard and cleanroom protocol.</li></ul> Requirements: <ul><li>Minimum bachelor’s degree in electronic or electrical Engineering or equivalent.</li><li>Minimum 4 years of related work experience in wafer process engineering and/or equipment maintenance.</li><li>Experience in high volume production of electronics components in an MNC or semi-conductor industry.</li><li>Possess strong technical competencies in his field of study.</li><li>Good knowledge of statistical and quality tools.</li><li>Able to work under pressure and with strong commitment at work.</li><li>Experience with computer systems and proficient with software applications such as MS Power Point, Excel, and Word.</li></ul>

Responsibilities: <ul><li>Support performance analysis: Assist in conducting in-depth analysis across sales representatives, segments and territories.&nbsp;</li><li>You will help identify trends, pinpoint growth opportunities and diagnose execution gaps to support data-driven improvements.</li><li>Assist with compensation planning: Collaborate with sales operations, leadership and compensation teams.&nbsp;</li><li>You will help gather data and provide analysis for incentive and compensation plans that align with strategic goals and recognize high performance.</li><li>Contribute to quota planning: Support quota planning and development processes.&nbsp;</li><li>You will help with data reviews to ensure transparent and equitable business goals that reflect current market realities.</li><li>Maintain data hygiene: Assist in establishing and following protocols for data accuracy, consistency and security to support trustworthy decision-making across the commercial organization.</li><li>Provide dashboard and reporting support: Contribute to the design, build and maintenance of advanced dashboards and reports.&nbsp;</li><li>You will help ensure sales teams and senior leadership have access to actionable intelligence for business decisions.</li><li>Support market research efforts: Help conduct customer, market and competitor research.&nbsp;</li><li>You will assist in generating timely insights that guide commercial strategies and position company for long-term growth in a competitive market.</li><li>Assist with win/loss analysis: Help analyze deals won and lost to provide strategic insights on pricing.&nbsp;</li><li>You will support identifying drivers of sales outcomes and share recommendations for competitive approaches and sustainable growth.</li><li>Aid in forecast planning: Work with business leaders to support and improve sales forecast planning.&nbsp;</li><li>You will assist in integrating performance metrics, pipeline insights and external market trends to inform resource allocation.</li></ul> Requirements: <ul><li>Relevant educational background in data analytics, sales, revenue operations, marketing, finance, or a related field, including hands-on experience through coursework, projects, or internships.</li><li>Exceptional analytical skills with the ability to solve complex problems using clear and actionable data while translating into actionable business insights</li><li>Excellent communication skills, with the ability to clearly present data insights and recommendations to cross-functional teams and business leaders</li><li>Advanced Microsoft Excel skills, including experience with formulas, pivot tables, data modeling, and large dataset analysis</li><li>Strong organizational and project management skills, with the ability to manage multiple priorities and deadlines in a fast-paced environment</li><li>Deep commitment to ownership, continuous learning and taking proactive steps to improve business outcomes.</li></ul>

Responsibilities: <ul><li>Manage and oversees vendor development activities across Temenos WSC cutting across multiple technology stacks (EdgeConnect/UXP, TCIB/WUI, TAP Core, oData services, Oracle, Actuate, ITX integration components).</li><li>Establish and enforce development and engineering best practices, coding standards, peer review discipline, and reusable component frameworks to ensure compliance by vendor team</li><li>Provide technical leadership in resolving complex issues and ensuring optimal design decisions during the development phase</li><li>Ensure the development work is aligned with development methodology and framework as well as the deliverables adhere to Temenos WealthSuite architecture standards, API standards, security controls, regulatory/non‑functional requirements (NFRs), and bank-wide governance.</li><li>Drive design consistency across modules, channels, and integration layers.</li><li>Oversee end‑to‑end technical delivery across multiple releases/sprints, ensuring on-time, quality delivery.</li><li>Govern code quality, integration patterns, and performance adherence.</li><li>Lead resolution of development related technical issues (eg connectivity, code scanning, performance, SIT/functional defects).</li><li>Work with System Analysts to validate feasibility and ensure clarity of requirements</li><li>Support SIT/UAT/NFT phases including performance, security, resiliency, and regression testing.</li><li>Ensuring clarity of technical deliverables and adherence to FSD and solution baseline.</li><li>Coordinate with vendor delivery team to drive performance, code quality, and delivery commitments.</li><li>Coordinate and ensure development artefacts and deliverables will be integrated into Central DevOps practices, CI/CD pipelines, automated testing, and shift-left quality.</li></ul> Requirements: <ul><li>Strong hands-on experience with Temenos WealthSuite, including EdgeConnect UXP, TCIB, WUI, Triple A+ / TAP Core, OData, ITX Integration, and Actuate/Opentext reporting.</li><li>Solid proficiency in Unix/Linux shell scripting, Oracle SQL/PLSQL, and integration technologies.</li><li>Familiarity with DevOps, CI/CD pipelines, automated testing, and source control practices.</li><li>Minimum 10–12 years of hands-on development experience, with at least 5 years leading large technical teams (15–25 developers).</li><li>Proven track record delivering end-to-end Private Banking / Wealth Management solutions, including at least one major Temenos WealthSuite implementation or upgrade.</li><li>Experience managing mixed teams (internal, vendor) across cross-functional and multi-stream project environments.</li><li>Strong capability in application analysis, technical design, system integration, and code review within the Private Banking domain.</li><li>Ability to guide teams on development and engineering best practices, solution consistency, and quality assurance throughout SDLC.</li><li>Strong communication, stakeholder management, and influencing skills across senior business and technology teams.</li><li>Ability to work independently with a resilient, solution-driven mindset, especially in high-pressure situations.</li><li>Familiarity with Agile and Waterfall methodologies, software development frameworks, and structured delivery processes.</li></ul>

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269 senior data scientist Jobs found

Strategic Business Development Lead

Senior SAP SD/MM Developer

Senior Application Developer - ERP

Legal Workflow Automation Executive

Legal Workflow Specialist

Forward Deployed AI Strategist

Finance Business Partner

Engineer, Senior - Equipment

Sales Operation Analyst

Technical Delivery Manager - Temenos Triple A+ (Private Banking) – VP2

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269 senior data scientist Jobs found

Strategic Business Development Lead

Senior SAP SD/MM Developer

Senior Application Developer - ERP

Legal Workflow Automation Executive

Legal Workflow Specialist

Forward Deployed AI Strategist

Finance Business Partner

Engineer, Senior - Equipment

Sales Operation Analyst

Technical Delivery Manager - Temenos Triple A+ (Private Banking) – VP2

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.