GFS-Data and Quality Management-Manager

Summary

Position Summary

• Demonstrate comprehensive expertise in client, vendor, personnel, entity, and opportunity data, leveraging deep understanding to address business challenges and identify strategic opportunities.
• Collect, document, and analyze complex client requirements; provide expert user support, bridge client expectations with operational execution, and deliver tailored solutions to enhance user experience.
• Lead and manage a high-performing team supporting member firms in organizing, categorizing, and maintaining information within Deloitte systems; promote best practices, standardized processes, and knowledge sharing to drive efficiency and alignment.
• Drive continuous improvement by motivating team leads and members to identify and implement enhancements in practices and processes, fostering a culture of proactive problem-solving.
• Translate group strategy into actionable steps at the team level, ensuring alignment with firm-wide goals and objectives.
• Oversee data profiling and quality management efforts, including data cleansing, error detection, and validation to ensure trusted, accurate client and entity data.
• Design and manage end-to-end data updating and integration techniques, validating and enhancing client master data by sourcing, evaluating, and integrating additional information.
• Apply advanced Client Data Integration (CDI) methodologies to match, merge, and link data from multiple sources, maintaining robust internal and external data connections.
• Implement client segmentation strategies to classify and organize clients, improve industry classification, and support market refresh initiatives.
• Utilize expert knowledge of internal and external platforms (e.g., Salesforce, SAP, ServiceNow, Informatica, D&B Hoovers, Compustat, EDGAR) to optimize data management and integration.
• Employ advanced data architecture concepts, including Change Data Capture (CDC), dimensional hierarchy maintenance, and multi-dimensional data modeling across time horizons.
• Apply Business Process Improvement (BPI) methodologies (e.g., V-Model, DMAIC, Six-Sigma, Agile, Lean) to optimize workflow utilization, throughput, and quality.
• Enhance and automate complex data management, research, and workflow methodologies for greater efficiency and impact.
• Serve as a Subject Matter Expert (SME) across multiple domains, providing guidance, innovative solutions, and expertise for intricate queries.
• Collaborate on master data governance and quality with functional data owners, ensuring integrity and consistency across systems and adherence to business rules.
• Develop and implement master data governance strategies, processes, and operations, applying leading practices in data modeling, lineage, analytics, and metadata management.
  

• Establish and refine sub-processes to drive ongoing process improvement and operational excellence.
• Exhibit strong business acumen, communicate effectively across organizational levels and cultures, and consistently achieve organizational objectives.
• Design and implement ETL (Extract, Transform, Load) processes to integrate external data into centralized repositories, ensuring efficient data extraction, transformation, and loading workflows.
  

• Analyze a wide range of business risks, recommend effective resolutions, and proactively seek opportunities to improve team portfolios and processes.
• Serve as Project Manager and functional process lead, overseeing large engagements and multiple smaller processes simultaneously; plan delivery, assess risks, and ensure timely execution.
• Design, develop, and deliver end-to-end projects, providing expert advice on integration, documentation, and implementation of complex solutions.
• Manage and monitor business SLAs, project timelines, and conduct regular audits to ensure process quality and compliance.
• Establish and refine new processes to address ambiguity, streamline implementation, and drive process improvements within specific domains.
• Guide and mentor Assistant Managers and Deputy Managers in metrics analysis, recommending enhancements to product roadmaps and identifying opportunities for improvement.
• Build and maintain strong stakeholder relationships, partnering to define and design next-level services and evaluating stakeholder/customer satisfaction to drive efficiencies.
• Drive knowledge sharing, documentation of best practices, and lessons learned across projects to foster continuous improvement.
• Serve as the escalation point for customers and stakeholders, ensuring effective issue resolution and communication.
• Oversee the entire product suite development cycle, providing strategic input to the product roadmap and ensuring interoperability, interdependencies, and cross-application synergies.
• Act as a trusted advisor on technical implementations for business stakeholders, serving as the single point of contact for a suite of technical products and solutions.
• Accountable for the delivery of team KPIs and ongoing process optimization.
  

• Conduct regular and timely counseling sessions and performance assessments for team members.
• Establish clear business processes to eliminate ambiguity and streamline implementation.
• Engage team members to drive innovation and cognitive processes
• Lead master data management projects by defining project requirements, scope, and implementation plans.
• Develop strong stakeholder relationships to manage expectations and enhance the value and depth of service.
• Anticipate client needs and provide tailored solutions.
• Guide and support Assistant Managers in conducting metrics analysis and identifying opportunities for improving Global Program Efficacy
  

• Demonstrate deep understanding of Deloitte’s businesses, industries and trends in business domain.
• Work with senior leaders in business and resource planning, recruiting strategy, process development and implementation, broader team wide change management projects / initiatives
• Demonstrate strong understanding of firm policies and risk management elements
• Demonstrate understanding of evolution of knowledge sharing processes, including history and current trends in the professional services space. Also, keep track of general technology/automation advancements, with an outlook to implement within the technology spectrum
  

• Acquire expertise in all relevant business areas and establish oneself as the Subject Matter Expert (SME).
• Crosstrain both existing and new team members on intricate data management, research, and workflow methodologies.
• Proactively enhance supplemental skills related to research and workflow methodologies through resources like e-room, publications, etc.
• Oversee end-to-end processes, collaborating closely with key stakeholders and promptly addressing data inquiries.
• Identify and document instances where processes yield unexpected results. Take ownership of creating and maintaining comprehensive process documentation and training materials.
• Recognize and document quality assurance (QA) processes, including research and documentation of complex data change requests.
  

• Lead and manage a team of Deputy Managers and Assistant Managers for data sharing applications, ensuring effective team performance and motivation.
• Develop and maintain subject matter expertise in specialized domains, acting as the primary resource for complex queries, innovative solutions, and guidance.
• Mentor, coach, and cross-train team members on advanced data management, research, and workflow methodologies; proactively identify training needs and conduct training sessions.
• Continuously upskill through self-learning using digital platforms, publications, and industry resources to stay current with best practices.
• Oversee end-to-end data management and workflow processes, collaborating with stakeholders, responding to data inquiries, and ensuring timely, accurate delivery.
• Create, maintain, and standardize process documentation, training materials, and business presentations, document unexpected process outcomes and QA activities.
• Drive process optimization by analyzing workflows, identifying bottlenecks, and implementing clear, efficient procedures; automate and enhance research and workflow methodologies for increased efficiency.
• Make independent decisions, demonstrate executive presence, and exercise sound judgment in handling complex issues and processes.
• Foster a culture of teamwork, best practice sharing, and continuous improvement; encourage identification of opportunities to elevate service standards.
• Align team activities with strategic business priorities, breaking down complex strategies into actionable tasks and ensuring shared understanding of process roadmaps.
• Collaborate across business and technology leads, member firms, and local data management teams to operate as a unified team and support global data maintenance initiatives.
• Cultivate strong stakeholder relationships, manage expectations, and proactively anticipate client needs to deliver customized solutions.
  

• Guide Assistant Managers and Deputy Managers in metrics analysis, supporting global program efficacy and the development of quantitative and qualitative metrics for process optimization.
• Lead change management efforts, providing guidance during periods of ambiguity and supporting strategic business objectives through robust data management practices.
• Enforce governance standards using playbooks and ongoing engagement with member firm SMEs to develop new services and quality standards.
• Maintain expertise in master data domains (Material, Vendor, Customer, Employee, Custom masters), and oversee ongoing data cleansing, validation, and profiling.
  

• Work effectively in physical and virtual teams in multi-cultural environments.
• Excellent communication skills, interpersonal skills, both oral and written, clear and concise communication.
• Strong written and verbal communications skills, ability to convey information crisply and concisely.
• Self-motivated and strong team player.
• Good attention to detail and ability to deliver quality work products.
• Logical structuring – structured approach to problem solving and ability to perform root cause analysis of client problems.
• Develop understanding of the firm's and aligned business' overall strategy and priorities
• Building Collaborative Relationships: Actively listens; and builds relationships to develop and enhance collaboration with team leaders.
• Problem Solving: Ability to work in a dynamic environment that requires out of box thinking and strong analytical skills and business analysis.
• Motivating Others: Exhibit enthusiasm, positive professional attitude, integrity and reliability.
  

• 10+ years of relevant experience in performing extensive data analysis (comparing multiple datasets).
• Advanced knowledge and 10+ years of relevant experience in MS Office Suite including MS Excel, Word, and MS Access, Visio etc.
• Advanced knowledge and 6+ years of hands-on relevant experience on SQL, including writing and modifying queries. Well versed with SQL server.
• 8+ years on any of the below given platforms:
• Informatica 360 MDM platform
• Salesforce Platform
• SAP S4
• Expert knowledge of MS Office Suite
• Intermediate knowledge on SQL.
  

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