Data Governance & Business Intelligence (US Remote)

Job Description:

DXC Technology helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new levels of performance, competitiveness, and customer experience.

Location: Remote, potential travel for up to 50%, depending on need and DXC discretion/approvals, to primarily interact with client leaders.

Essential Job Functions

• Develop and Drive Solutions: Develops and drives large and/or complex business solutions for targeted/assigned customers, providing in-depth solutions architecture recommendations based on specific customer needs.
• Customer interaction and Understanding of Customer Business: Actively research customers to determine business issues, establish technical credibility, and cultivate relationships with senior IT executives.
• Solution Architecture and Strategic Guidance: Provide solution architecture and strategic guidance during the solution development process to ensure alignment with overall company sales and client business strategy.
• Present Technical Solution Strategy: Deliver and sell the technical solution strategy and vision to senior client executives, ensuring the solution meets client expectations and requirements.
• Research and Evaluate Best Practices: Research industry, market, and IT services best practices and trends to ensure company solutions meet client needs. Leverage partner solutions to continuously solve customer needs.
• Mentorship: Function as a technical resource and mentor for less experienced Sales Solutions personnel.

Key Responsibilities

• Technology assessment: Analyze a client's technology stack, considering data ingestion, storage, processing, analytics, security, governance, access, and visualization needs.
• Solution Design: Create customized architectures, including data ingestion, storage, processing, data warehousing, data pipelines, reporting & dashboards, and data governance strategies.
• Technical Demonstrations: Conduct direct presentations showcasing proposed solutions, and highlighting features and functionalities.
• Proof-of-Concept Development: Build small-scale prototypes to demonstrate the feasibility and potential impact of BI and data engineering solutions.
• Responding to RFIs/RFPs: Craft comprehensive technical responses to requests for information and proposals, outlining proposed solutions and pricing.
• Collaboration with Sales Team: Work closely with sales representatives to qualify leads, address technical concerns, and articulate the business value of the solutions.
• Customer Interaction: Engage with prospective clients to assess their data needs, identify pain points, and translate business requirements into technical solutions.
• Sales Support: Collaborate with sales representatives to answer technical questions, address concerns, and qualify potential leads.

Core Skills

• Data Governance, MDM: Assessing client data landscape, identifying data quality issues, and designing data governance frameworks including data ownership, access controls, data catalog, data lineage, glossary, data product marketplace, data provisioning, data stewardship, and data quality standards. Familiarity/Expertise with MDM and data governance and security concepts and data governance tools such as – Collibra, Purview, IDMC, Alation, Erwin Data Intelligence, Databricks Unity Catalog, Atlan
• Business Intelligence, Business Analytics: Create architecture patterns and solution design for BI implementation, ad-hoc data analysis, semantic layer design, BI data modeling, BI optimization, BI governance, BI distribution, and consumption. Familiarity with optimization of data refreshes, dashboards, and reports, aligned with customer requirements Expertise in BI tools and platforms like Power BI, Tableau, Qlik, Cognos, MicroStrategy, etc.
• Programming Proficiency: Familiarity with programming languages (e.g., SQL, Python, DAX, T-SQL) and data manipulation techniques.

Additional Preferred Skills

• Data Engineering: Expertise in designing conceptual logical and physical architecture diagrams and flows for data engineering, including data ingestion patterns, transformation, warehousing, pipelines, and big data technologies (e.g., Hadoop, Spark, AWS Redshift, Azure Data Lake, GCP BigQuery, Snowflake, Databricks, Synapse),  ETL tools (IDMC, Talend, SSIS, FIVETRAN, DBT, Ab Initio, Pent