L3 Lead -  (Datamart/MXML/Risk)

Continuous Improvement Analyst III / Sr Lean Engineer

MGR II Qlty & Reliability Engineering

Manager - Hire to Retire

VP, Senior Data Engineering Manager

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Technical Delivery Manager, Core Banking

Senior Corporate Strategy Analyst

Responsibilities: <ul><li>Plan technical and functional deliverables (including any system enhancements and upgrades) to meet project’s requirements within allocated budget and schedule.</li><li>Plan, monitor and manage risks/issues related to technical delivery. </li><li>Take ownership of any issues that may impact the delivery quality and timeline.</li><li>Provide status update related to technical delivery to TDM/Project Manager (PM)/ Program Manager.</li><li>Plan &amp; allocate resources to support EOD tasks &amp; day to day Production tasks requiring assistance.</li><li>Oversee the deployment tasks, arrange for peer review of codes, maker-checker assignment &amp; updating status to release team.</li><li>Own the delivery plan. Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions. Follow up on the proposed solution and fix the problem</li><li>Manage stakeholders throughout the duration of the role. Ensure project governance is adhered to, any changes are documented and approved</li></ul> Requirements: <ul><li>Bachelors degree in computer science, engineering or similar domain</li><li>Strong Murex skills (Datamart/MXML/Risk)</li><li>Good business domain knowledge in Global Markets and Group Risk</li><li>More than 10 years track record in developing and delivering global/regional IT capabilities for a multi-national/regional company with annual budgetary responsibility</li><li>More than 3 years leadership experience in managing IT delivery teams</li><li>Experience in communicating with functional and technical stakeholders</li><li>Experience in banking industry preferred</li><li>Experience in implementing large-scale, highly available applications or other large project implementation</li><li>Experience in service-oriented technologies</li><li>Proven result-oriented person with a focus on delivery</li><li>Experience in actual systems development work, with prior coding, functional specifications and technical specifications and systems development and testing experience (in aggregate no less than 8 years)</li><li>Good understanding and experience in software development cycle</li><li>Highly effective communicating with technical stakeholders, proficient communicating with non-technical stakeholders</li><li>Good problem solving, analytical, synthesis, system thinking and solutioning skills</li></ul>

Responsibilities: Productivity <ul><li>Plan annual saving projects (Included of Digital Value Creation Projects) within related department through value stream. Cost saving tracking and measurable result deliver.</li></ul> Kaizen Event <ul><li>Drive financial savings by KAIZEN project implementation/coordination. Lead/facilitate Kaizen events toward cross functional team.</li></ul> Culture <ul><li>Promote CI culture by using LEAN tools (Included of Digital Factory) thought KAIZEN projects. To promote a strong operational excellence culture.</li></ul> Standardization <ul><li>Standardize CI value stream Transformation process through KAIZEN projects implementation and CIP program deployment standard work documentation.</li></ul> Digitalization <ul><li>Digital Factory related tools deployment and project coordination to ensure successful implementation</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Operations Management, Business Administration, or related fields.</li><li>3-5 years of experience in lean manufacturing, operational excellence, or continuous improvement.</li><li>Hands-on experience with TEOA, Lean, Six Sigma, or related methodologies.</li><li>Experience in digital transformation or factory automation is a plus.</li></ul>

Responsibilities: <ul><li>Primary responsibility for developing and driving standardized Design for Reliability Engineering (DfRE) and Robustness Validation (RV) Methodologies for all Power Products.</li><li>Drive a DFSS culture, one of innovation, constant learning, and continuous improvement that aspires to deliver "First Time Right"; provide product development and DFSS training, coaching, and mentoring to product design teams to create a world class product development organization.</li><li>Drive excellence in Design for Reliability ensuring comprehensive utilization of modeling and simulation, structured DOE approaches, robust product validation including HALT/HAST and Test to Failure (TTF) methodologies.&nbsp;Oversee integrating reliability considerations during technology &amp; product evaluation, NPI product development from receipt of Customer Spec (Mission Profile) through Product Release into mass production; will have T&amp;V Plan + Reliability Test Plan Finalization Authority for Power Products.</li><li>Partner with PDE’s to quickly produce and evaluate first samples to expedite speed to market and drive fast and iterative product design improvements; drive Early Concept Testing identifying potential weaknesses and failure mechanisms in the product design and validating all improvements through testing and capability analysis.</li><li>Work very closely with MPDE about Process Developments and Equipment Developments, developing comprehensive test plans to ensure capability to six sigma standards and driving world-class Simultaneous Engineering (Concurrent Engineering).</li><li>Support Mfg Quality with failure analysis (F/A) and Root Cause and Corrective Action (RCCA) of line scrap and customer returns as well as competitive benchmarking activities.</li><li>Lead the identification of special testing needs and requirements and partner with Global R&amp;T COE to develop Custom Test Equipment, Tests &amp; Test Specifications.&nbsp;Oversee all application testing for Power Products.</li><li>Drive high performance organization by providing your team routine coaching and feedback, holding your team accountable to meet performance objectives, and providing meaningful development to increase individual/team capability.&nbsp;</li><li>Manage employee well-being by prioritizing work, effectively managing resource loading, and providing flexibility to enable employees to successfully balance their work and personal lives.</li><li>Drive organization effectiveness by structuring your organization in a way that best enables the BU strategy, maximizes resource efficiency and productivity, and provides role clarity and clear lines of accountability.</li><li>Manage the talent in your organization to support the business now and to proactively prepare for the future by identifying organization skillset/role gaps, implementing plans to fill any skillset/role gaps, and assessing current talent fit to ensure the right talent is matched to the right roles to best meet the needs of the business.</li></ul> Requirements: <ul><li>Bachelor/ Master’s degree in technical discipline (Electrical Engineering, Electronics, Mechatronics)</li><li>10+ years of Experience in all aspects of reliability engineering for electronic or mechatronics products from reliability estimation to reliability calculation and risk identification.</li><li>Must also have many years of experience working with test equipment, test systems, test labs, development and deployment of HALT/HAST testing, Test &amp; Validation Plans, development of custom test systems and performing “application tests.”&nbsp;Must have a good balance between theory and practice.</li><li>Experience interacting with global cross-functional engineering teams in multi-site global organization.</li><li>Excellent English, both verbal and written, and the ability to interact professionally with customers, leadership, stakeholders, cross functional teams and subject matter experts.</li><li>Exceptional analytical, critical thinking, and problem-solving skills and ability to make decisions when presented with a series of challenges, conflicts and constraints.&nbsp;Ability to drive to big picture goals and milestones while valuing and maintaining strong attention to the details.</li><li>Knowledge on FIT estimation methodology, statistical analysis for reliability calculation such as Weibull-analysis or 2-statistics, application of Bayes theorem, random failure principle, FMEDA, FTA</li><li>Reliability Engineering training from company, ASQ, TUV, Reliasoft or equivalent</li><li>Experience with custom product development, working closely with customers to define mission profile of the end application and optimizing reliability strategy based on customer needs.</li><li>Experience in running statistical analysis for reliability calculation for mechatronic products.</li><li>A high curiosity in understanding how systems/products work along with a reverse engineering mindset.</li><li>Willingness to travel as required, ~20%&nbsp;</li></ul>

Role Description:&nbsp; <ul><li>The Manager, Hire to Retire Process Transformation is responsible for leading the day-to-day delivery of transformation projects and workstreams across the Hire-to-Retire lifecycle within Human Capital Services.&nbsp;</li><li>Reporting to the Associate Director, the role translates the transformation agenda into executable plans, standardized processes, and digital-enabled solutions, working hands-on across process design, system configuration, data, and change.</li><li>It combines strong project delivery discipline with practical HC process and technology expertise to move Group Services towards a best-in-class shared services operating model.&nbsp;</li><li>The role is a key delivery partner to the Associate Director and to vertical HR teams, ensuring initiatives are delivered on time, on budget, and to the intended quality, while coordinating junior team members and third-party resources.&nbsp;</li></ul> Responsibilities:&nbsp; 1. Transformation Project &amp; Workstream Delivery&nbsp; <ul><li>Lead the planning, delivery, and reporting of assigned transformation projects and workstreams across the entire Hire-to-Retire lifecycle; managing scope, timelines, budgets, risks, and issues.&nbsp;</li><li>Develop and maintain project plans, delivery artefacts, and status reporting for the Associate Director and governance forums.&nbsp;</li><li>Coordinate project stakeholders, cross-functional contributors, and vendor resources to deliver against agreed milestones.&nbsp;</li></ul> 2. Process Standardization &amp; Improvement&nbsp; <ul><li>Analyze current-state Hire-to-Retire processes across verticals and design standardized, simplified, and automated future-state processes.&nbsp;</li><li>Document process maps, standard operating procedures, and service definitions, embedding controls-by-design and data quality requirements.&nbsp;</li><li>Identify and quantify efficiency, experience, and control improvement opportunities to build the case for change.&nbsp;</li></ul> 3. Digital &amp; Technology Enablement&nbsp; <ul><li>Support the configuration, testing, and deployment of HR platforms (HCM, ATS, LMS, ServiceNow, workforce analytics) in partnership with Group IT and vendors.&nbsp;</li><li>Gather and document business requirements, translate them into functional specifications, and manage user acceptance testing.&nbsp;</li><li>Support the expansion of service management capabilities such as ticket taxonomy, SLAs, and self-service workflows.&nbsp;</li></ul> 4. Data, Analytics &amp; Insight&nbsp; <ul><li>Compile, validate, and analyze workforce and process data to support business cases, benchmarking, and decision-making.&nbsp;</li><li>Build clear, traceable analysis and reporting, including cost-to-serve, cycle time, volumes, and quality metrics.&nbsp;</li><li>Support the development of dashboards and management reporting that track transformation benefits and service performance.&nbsp;</li></ul> 5. Change Enablement &amp; Stakeholder Engagement&nbsp; <ul><li>Alongside our Change and Communications team, deliver change management activities for assigned initiatives, including stakeholder engagement, communications, training, and adoption support.&nbsp;</li><li>Run stakeholder interviews and workshops to capture pain points, requirements, and priorities across the Hire-to-Retire lifecycle.&nbsp;</li><li>Build strong working relationships with vertical HR teams and enabling functions to secure buy-in and sustained adoption.&nbsp;</li></ul> 6. Value Realization &amp; Continuous Improvement&nbsp; <ul><li>Track delivery against defined success metrics and support the realization and reporting of transformation benefits.&nbsp;</li><li>Capture lessons learned and embed a culture of continuous improvement and service excellence within Human Capital Services.&nbsp;</li><li>Contribute to the ongoing development of transformation standards, tools, and delivery methodology.&nbsp;</li></ul> Requirements: Qualifications &amp; Experience&nbsp; <ul><li>Bachelors or Masters degree in HR, Business, Information Systems, or a related discipline.&nbsp;</li><li>6 to 10 years experience in HR transformation, HR shared services, consulting, or enterprise HC operations.&nbsp;</li><li>Proven experience delivering process and technology change within complex, multi-entity organizations.&nbsp;</li><li>Practical experience with HR technology ecosystems (for example HCM, ATS, LMS, and ServiceNow) and workforce data and analytics.&nbsp;</li><li>Exposure to AI-enabled solutions within the Human Capital services domain is an advantage.&nbsp;</li><li>Recognized project management or process improvement certification (for example PMP, PRINCE2, Agile, or Lean Six Sigma) is desirable.&nbsp;</li></ul> Key Competencies&nbsp; <ul><li>Project and workstream delivery.&nbsp;</li><li>End-to-end HC process design and improvement.&nbsp;</li><li>HR technology enablement and requirements management.&nbsp;</li><li>Workforce data analysis and reporting.&nbsp;</li><li>Stakeholder engagement and change enablement.&nbsp;</li><li>Structured problem-solving and attention to detail.&nbsp;</li><li>Commercial and value-oriented mindset.&nbsp;</li></ul>

Responsibilities: <ul><li>Provide vision, leadership, and strategic direction for data engineers to deliver modern, high-quality data pipelines, models, and products, while fostering</li><li>innovation and new approaches to solving enterprise technical challenges.</li><li>Lead cloud data transformation and migration initiatives, helping define target-state cloud data engineering standards while ensuring solutions are resilient, scalable, high-performing, cost-optimized, and secure.</li><li>Drive data engineering excellence through AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous</li><li>improvement to reduce complexity, increase consistency, and accelerate delivery.</li><li>Establish and advance best practices for data ingestion, transformation, standardization, productization, data quality, metadata management, lineage,</li><li>observability, orchestration, automated deployment, data protection, and secure data consumption.</li><li>Oversee the development of best-in-class data models and testing practices that are aligned to business objectives and enable trusted, consistent, secure, and easily usable data across the enterprise.</li><li>Partner with company leaders, the Data Office, Supervisory Affairs, Risk &amp; Compliance, other process owners, and other Technology and Business</li><li>stakeholders to ensure strategic data solutions sufficiently mitigate risk, strengthen controls, and respond to regulatory expectations.</li><li>Champion agile delivery with the Office of Agile and cross-functional teams using SAFe methods, managing execution across multiple priorities, projects, and release trains while proactively addressing dependencies, risks, and issues.</li><li>Develop, coach, and retain a high-performing team through skill development, career growth, inclusive leadership, succession planning, and ongoing focus on</li><li>team effectiveness.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors Degree and a minimum of 12 years of IT experience, OR in lieu of a Degree minimum of 14 years of experience in an IT environment</li><li>Minimum of 5 years of data engineering experience leveraging public cloud capabilities.</li><li>Minimum of 7 years of experience in a large complex organization</li><li>Minimum of 9 years of Demonstrated experience leading data engineering delivery for enterprise-scale data platforms, pipelines, data models, or analytic products.</li><li>Ability to communicate complex technical concepts clearly to business, technology, risk, and executive stakeholders</li></ul>

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: <ul><li>Lead and manage a team working on Core Banking ATM Host Systems and CustomerStatements development</li><li>Lead end-to-end delivery of ATM host and statement solutions, ensuring on-time, quality, and cost-effective delivery.</li><li>Manage the development, maintenance, and enhancements of systems using COBOL, RPG, and DB2 on AS400.</li><li>Oversee deployments using ALDON for automation and version control on AS400 platforms.</li><li>Collaborate with business and technology stakeholders to define project scope, deliverables, timelines, and resources.</li><li>Ensure compliance with security protocols, including encryption standards for ATM transactions.</li><li>Apply DevOps practices to improve automation, deployment, and operations.</li><li>Coordinate cross-functional teams and manage third-party vendors where applicable.</li><li>Monitor delivery progress, risk mitigation, and issue resolution throughout the project lifecycle.</li><li>Provide leadership and mentorship to technical teams and ensure alignment with business goals.</li><li>Support incident management, root cause analysis, and continuous improvement for ATM-related production issues.</li><li>Provide status updates, risk assessments, and delivery timeliness to business and IT stakeholders</li><li>Maintain documentation for release schedules, QA metrics, and issue logs.</li><li>Apply best practices in software development, documentation, and version control.</li><li>Participate in code reviews and ensure adherence to security and coding standards.</li><li>Drive continuous improvement and automation initiatives within the team.</li><li>Provide hands-on guidance and mentoring to junior team members.</li></ul> Requirements: <ul><li>Over 9 years of experience in banking IT systems, with at least 4–5 years in ATM Host system management</li><li>Strong hands-on knowledge of AS400, COBOL, and RPG</li><li>Experience with DB2 and ALDON on AS400</li><li>Good understanding of ATM systems including encryption/security protocols</li><li>Solid knowledge of DevOps tools and practices</li><li>Proven ability to manage complex projects and lead delivery teams</li><li>Strong understanding of system development life cycle (SDLC), Agile, and hybrid methodologies</li></ul>

Role Description: <ul><li>This role is part of the Strategy function for the Industrial Solutions Segment, will work on the most important strategic initiatives across the business and will report to strategy manager. </li><li>This position will be based in the city of Bangalore (India) and require 10-20% travel to client locations worldwide to meet colleagues, visit sites, and attend industry conferences. </li><li>India is an important business hub for client, with over 2,000 employees, including R&amp;D, Engineering, Strategy, and other functions.</li><li>This role is part of the Strategy function for the Industrial Solutions Segment, will work on the most important strategic initiatives across the business and will report to strategy manager. </li><li>This position will be based in the city of Bangalore (India) and require 10-20% travel to client locations worldwide to meet colleagues, visit sites, and attend industry conferences. India is an important business hub for client, with over 2,000 employees, including R&amp;D, Engineering, Strategy, and other functions.</li></ul> Responsibilities: <ul><li>In this critical role, the Strategy Analyst will support in developing strategies through key responsibilities in four major areas</li><li>Help to develop strategies that drive above-market organic and inorganic growth</li><li>Gather real-time input as the external environment evolves (e.g., technology, customer needs, regulations, competitors, etc.)</li><li>Help identify new growth platforms, growth opportunities through the identification of attractive market spaces, determining what it takes to win, assessing competitive position and business models, and then helping the organizing to align on the strategic direction and execution plan</li><li>Drive change – helping to implement projects to execute on strategic objectives</li></ul> Additional responsibilities include <ul><li>Collaborate with Corporate Strategy, and business units’ strategy teams to solve complex business problems</li><li>Translate business requests into well-defined problems</li><li>Develop strategies and approaches to fulfil complex project assignments in creative and meaningful ways</li><li>Perform market and competition analyses to generate impact driven insights at global and regional levels</li><li>Identify key trends across markets, industries, and competitors that affect our businesses</li><li>Create analytical models to address key business questions and translate outputs into clear findings and recommendations</li><li>Create compelling storylines to support leadership fact-based decision making</li><li>Support the successful development and deployment of the annual strategy development process</li><li>Track execution of the long-term strategy through a select set of strategy-to-execution KPIs, synthesize implications to the strategic plan and recommend potential course corrections</li></ul> Requirements: <ul><li>Bachelor’s degree, with strong quantitative skills</li><li>An MBA or a Masters degree are desirable but not required.</li><li>Experience in market research, quantitative analysis, management consulting or corporate strategy, as well are a plus</li><li>Experience creating presentations and communicating ideas and plans</li><li>Excellent proficiency in data analytics</li><li>Track record of demonstrated leadership potential through academic, work, and/or community activities</li><li>Strong sense of tact, confidentiality, and maturity</li></ul>

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64 deployment Jobs found

L3 Lead - (Datamart/MXML/Risk)

Continuous Improvement Analyst III / Sr Lean Engineer

MGR II Qlty & Reliability Engineering

Manager - Hire to Retire

VP, Senior Data Engineering Manager

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Technical Delivery Manager, Core Banking

Senior Corporate Strategy Analyst

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64 deployment Jobs found

L3 Lead - (Datamart/MXML/Risk)

Continuous Improvement Analyst III / Sr Lean Engineer

MGR II Qlty & Reliability Engineering

Manager - Hire to Retire

VP, Senior Data Engineering Manager

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Technical Delivery Manager, Core Banking

Senior Corporate Strategy Analyst

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

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