Home Lending Authorized Data Store Consultant

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data‑led innovation to help our clients accelerate growth and unlock business value. Our AI‑driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting‑edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel. Area of Responsibility Perform business analysis projects using advanced techniques (e.g., predictive analytics, scenario modelling) to identify strategic opportunities within the domain, influencing long‑term decisions and value chain optimization Perform detailed evaluations of IT solutions, leveraging domain expertise to assess effectiveness and alignment with client goals, guiding strategic technology decisions Create documentation for systems, ensuring precision and thoroughness, while leading efforts to articulate sophisticated technical concepts for diverse stakeholders Perform specialized research on third‑party products, providing in‑depth insights on features, performance, and integration capabilities to ensure alignment with client needs and industry standards Create solution architectures and develop comprehensive architectural diagrams, ensuring scalability, resilience, and integration with existing infrastructure. Run the technical aspects of implementation by applying domain knowledge and ensuring scalable optimal system performance. Design and execute maintenance strategies to ensure long‑term system reliability Your Contribution to the Team Expertise in IT solutions and solution architecture for specific sectors Proficiency in evaluating IT solutions and aligning them with business enhancement goals A focus on innovation and adaptability for integrating new technologies Proactive problem‑solving to streamline complex requirements. Skilled in research, innovation adoption, and designing scalable architectures, aligned with industry standards and best practices Required Skills Experience in Mortgage & Home Lending domain consulting, business analysis, data analysis, data mapping, data models within banking and financial services. Understanding of mortgage and home lending business processes, including loan origination, underwriting, processing, closing, boarding, servicing, escrow, payments, delinquency, default, payoff, and investor/reporting data. Experience working with mortgage data across multiple applications and helping business and technology teams understand how data is defined, used, transformed, and consumed across systems. Experience supporting the creation of Application Data Stores, Authorized Data Stores, data consolidation layers, enterprise data stores, curated layers, or trusted reporting data assets. Experience documenting business‑aligned data definitions, source‑to‑target mappings, business rules, transformation logic, and data dictionaries for enterprise programs. Experience working with legacy mortgage platforms, operational applications, extracts, reports, interfaces, and downstream data consumers. Familiarity with enterprise data platforms, cloud data environments, and large‑scale data transformation programs. Preferred Skills Experience using SQL for source‑system analysis, relationship discovery, data profiling, reconciliation, and validation support. Experience in rationalizing data across applications by identifying overlaps, duplicate fields, conflicting definitions, code variations, and unnecessary source‑specific representations. Experience defining or supporting logical data models, canonical data views, subject‑area models, or implementation‑ready target structures for banking and mortgage data domains. Experience working with data governance, metadata, lineage, certification, data quality, and controlled data consumption processes. Experience producing structured delivery artifacts such as mapping specifications, business rule inventories, data dictionaries, issue logs, assumption trackers, and review notes. Experience working in Agile, waterfall, or hybrid delivery environments in banking and enterprise data programs. Additional Required Qualifications Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. This position may require relocation and/or travel to work/project location. Candidates authorized to work for any employer in the United States without employer‑based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future. Benefits Along with competitive pay, as a full‑time Infosys employee you are also eligible for the following benefits: Long‑term/Short‑term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level About Us Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. #J-18808-Ljbffr Infosys