Assistant Manager

Job Description Summary Position Summary Assistant Manager Shift timings: 2:00 PM to 11:00 PM Work location: HYD Data Integration and Quality Specialist - Assistant Manager Are you a detailed oriented, data driven and desire to excel Data Integration and Architecture is the hub for Deloitte Talent Data, helping the US and US India Offices with Talent data and analytical needs. The data we provide, and our consultative services are used by different groups of the firm to drive people strategy in headcount forecast, retention, hiring, compensation, learning and resource management. Work you'll do The Data Integration and Quality Specialist - Assistant Manager plays a pivotal role in understanding the design, implementation and managing the organization's data integration solutions and architectural frameworks. This position supports the development of scalable, secure, and efficient data environments that enable seamless data flow across systems and support business intelligence, analytics, and digital transformation initiatives. This role ensures that data across the enterprise is accurate, consistent, reliable, and fit for business use. You will collaborate with cross-functional teams, leverage modern data quality tools, and stays abreast of evolving data management trends and regulatory requirements. Key Responsibilities - Data Modeling & Integration oAbility to document current design and proposed user driven efficiency changes to data models, aligned with the business priorities. oCollaborate with business and IT teams to gather integration requirements and translate them into technical solutions. Data Integration and Automation oSupport the development and maintenance of enterprise data architecture, including data models, data flows, and data storage solutions. oImplement innovative ways to monitor the consistency of the data throughout the lifecycle, ingestion, transformation and synchronization oResponsible for automating data integration workflows and adopting DataOps practices for agility and quality oData Governance & Compliance oEnsure architectural solutions align with data governance, security, and compliance standards. oDocument data architecture designs, standards, and best practices. oMonitor and troubleshoot data integration jobs, ensuring high availability and performance. Cloud & Modern Data Platforms oAbility to adopt and work on cloud-based integration tools and serverless architectures. oDrive towards unified data platforms that combine data integration, storage, and analytics. oParticipate in the selection and implementation of data platforms, tools, and technologies. oChallenge the technology systems approach and their interlinkages in order to determine the best way of data flow between the systems, as well as to be able to extract data using relevant extraction rules. oOperationalizing analytics: Ability to process the embedding analytical insights, models, or data-driven decisions directly into business processes, systems, and workflowsso that analytics move beyond dashboards and reports to drive real-time, automated actions within the organization. - Data Quality Management oLeverage Generative AI: AI & Automation in Data Quality: knowledge and ability to use machine learning and AI-driven tools for automated data profiling, anomaly detection, and data cleansing. oData Observability: Goes beyond traditional data quality by providing end-to-end visibility into data pipelines, monitoring data health, lineage, and detecting issues proactively oData Mesh & Decentralized Data Ownership: Growing adoption of data mesh principles, empowering domain teams to own and manage data quality. oCloud-Native Data Quality Solutions: Shift toward cloud-based data quality and governance platforms for scalability and integration. oReal-Time Data Quality Monitoring: Demand for real-time or near-real-time data quality monitoring to support agile business decisions. oData Privacy & Regulatory Compliance: Heightened focus on data quality as a foundation for privacy compliance (GDPR, CCPA, etc.). oData Literacy Initiatives: Emphasis on upskilling teams in data quality concepts and best practices. Education, Technical Skills And Experience - Graduate/Masters degree required Minimum of 7-9 years applied experience in data systems, architecture, data flows and integrations. - Advanced proficiency in SQL and Microsoft tools like Excel (including VBA), word, PowerPoints with strong qualitative and analytical skills. - Working experience or knowledge on tools like SABA, MySource, Success Factor, SAP Analysis for Office (AO), Crystal Reports, and SQL Studio. - Familiarity with data visualization tools such as Tableau, QlikView, and Power BI for creating internal dashboards - Prefer Working experience or Knowledge on Data Quality tools like SAP Information Steward and Microsoft SQL Server- Data Quality Services (DQS) - Ability to manage ServiceNow Intake process, Smartsheet and Azure Ops for tracking Interpersonal Skills - Strong oral and written communication skills for clarifying data requests, escalating data issues, and writing analyses. - Ability to work independently and collaboratively within a team. - Confidence, responsiveness, flexibility, initiative, and sound decision-making. - Strong interpersonal skills to build effective working relationships. - Ability to quickly learn and adapt to new processes, tools, and technologies. - Resourcefulness and creativity in problem-solving, especially in a changing environment. - Keen focuses on data accuracy and meticulous attention to detail. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financiallyand live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 307682