Job Description: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.
- Offering Development: Contribute to the Data & AI offering development by collaborating with the global teams and educating sellers, client partners, and clients.
- 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: Deliver presentations showcasing proposed solutions, highlighting features and functionality.
- 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 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, Pentaho, Striim, AWS Glue, Azure Data Factory, Matillion, etc.)
- Data Security Design: Developing data security strategies aligned with industry regulations (GDPR, HIPAA, PCI DSS, PII, ISO), including encryption, data masking, and access controls for sensitive data.
- Platform Architecture Design: Design scalable, secure cloud data architectures that balance performance, cost optimization, and data security. Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, Azure, GCP, Oracle, improving scalability, performance, and cost efficiency.
- DevOps Integration: Incorporating DevOps principles like CI/CD pipelines, infrastructure as code, and automated testing into data solutions to streamline deployment and management.
- Data Consumption Integration - Ability to explore and design data integration architecture from data warehouses/data lakes and other data sources to consumption applications.
- Data Modeling and Warehousing: Understanding of data structures, dimensional modeling, and data warehousing concepts including data vault concepts, star schema, SCDs.
- Programming Proficiency: Familiarity with programming languages (e.g., SQL, Python, Java, Scala) and data manipulation techniques.
Additional Preferred Skills- Data Governance, MDM: Assess the client data landscape, identify data quality issues, and design data governance frameworks, including data ownership, access controls, and data quality standards. Familiarity/Expertise with MDM and data governance and security concepts and tools - 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, BI data modeling, BI optimization, BI governance, BI distribution, and consumption. Familiarity with optimizing data refreshes, dashboards, and reports aligned with customer requirements. Expertise in BI tools and platforms like Power BI, Tableau, Qlik, Cognos, MicroStrategy, etc.
- AI/ML- Develop customized AI/ML solution architectures across major AI platforms, including MLOps, AIOps, and AI delivery, including data pipeline setup, deployment, training, testing, model selection, and infrastructure considerations based on customer needs. Familiarity with AI/ML-related technologies and tools such as MLflow, Kubeflow, Kubernetes, TensorFlow, PyTorch, AWS SageMaker, Azure ML Studio, DataRobot, Databricks MLflow, and Snowflake ML.
- Gen AI - Evaluate and select suitable generative AI models (like GPT-3, BERT, PaLM) based on project requirements. Design the overall system architecture to integrate LLMs into existing applications or build new AI-powered products. Plan data pipelines, processing workflows, and model deployment strategies. Provide technical guidance to development teams on implementing generative AI solutions. Guide the selection of appropriate tools, frameworks, and cloud platforms for building and deploying Gen AI systems. Stay current with the latest advancements in generative AI research and technologies to keep solutions innovative. Develop prototypes and proofs of concept to validate Gen AI solutions. Optimize model performance, including fine-tuning LLMs to specific tasks and domains. Implement robust monitoring and evaluation mechanisms to track the effectiveness of deployed Gen AI systems.
Basic Qualifications- Bachelor's degree or equivalent combination of education and experience.
- Bachelor's degree in computer science, information technology, or related field.
- Overall Experience in Data and Analytics of more than 12 years.
- Experience in client interaction as a pre-sales solutions architect of more than 5 years
- Experience with a broader landscape of Data & AI products and services.
- Effective communication, written, presentation, interpersonal, and listening skills.
- Ability to create and maintain formal and informal networks.
- Ability to publicly represent the company with internal and external clients.
- Ability to use own judgment and initiative in problem resolution.
- Ability to present ideas, goals, problems, outcomes, and processes to a diverse audience.
Work EnvironmentMust be legally authorized to work in the United States without requiring sponsorship now or in the future.
Compensation at DXC is influenced by an array of factors, including but not limited to the experience, job-related knowledge, skills, competencies, as well as contract-specific affordability and organizational requirements. A reasonable estimate of the current compensation range for this position is $158,300 - $293,900.
Full-time hires are eligible to participate in the DXC benefit program. DXC offers a comprehensive, flexible, and competitive benefits program which includes, but is not limited to, health, dental, and vision insurance coverage; employee wellness; life and disability insurance; a retirement savings plan, paid holidays, paid time off.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.
