Senior Principal Consultant - Data & Analytics

Position Summary Apps Associates is seeking a highly experienced Senior Principal Consultant – Data & Analytics to serve as a strategic advisor, enterprise architect, and delivery leader for complex data, analytics, and AI transformation initiatives. This individual will lead enterprise engagements spanning modern cloud data platforms, data warehouses, lakehouses, business intelligence, advanced analytics, and enterprise application ecosystems. The ideal candidate possesses deep expertise across Oracle, Microsoft, Snowflake, Databricks, and other leading analytics technologies, with the ability to design scalable, business-driven solutions that support reporting, analytics, AI, and digital transformation objectives. The Senior Principal Consultant will work closely with executive stakeholders, business leaders, and technical teams to define data strategies, modernize analytics environments, establish governance frameworks, and deliver measurable business outcomes. This role combines hands-on architecture leadership, consulting expertise, delivery oversight, and business development responsibilities. Key Responsibilities Strategic Advisory & Architecture Leadership Serve as a trusted advisor to client executives, business stakeholders, and technology leaders. Lead enterprise data and analytics strategy engagements, roadmap development, and modernization initiatives. Define end-to-end data architectures supporting reporting, analytics, AI, machine learning, and operational decision-making. Design scalable cloud-based data platforms, data warehouses, lakehouses, and analytics ecosystems. Establish enterprise data governance, security, quality, and master data management approaches. Evaluate and recommend technology solutions based on business requirements, organizational maturity, and long-term strategic objectives. Drive architecture decisions that balance scalability, performance, maintainability, and cost. Data & Analytics Platform Leadership Lead architecture and implementation of enterprise data and analytics platforms. Design modern reporting, self-service analytics, and executive dashboard solutions. Define semantic models, dimensional data models, reporting frameworks, and data consumption patterns. Develop source-to-target integration strategies across ERP, CRM, HCM, SCM, and operational systems. Establish data reconciliation, validation, and governance frameworks. Guide clients through legacy reporting and analytics modernization efforts. Support enterprise AI and advanced analytics initiatives through scalable data architecture design. Delivery Leadership Lead technical workstreams for large-scale data and analytics transformation programs. Provide oversight across architecture, design, development, testing, deployment, and production support activities. Establish implementation standards, best practices, and reusable delivery accelerators. Conduct architecture reviews and solution quality assessments. Mentor consultants, architects, data engineers, and analysts. Ensure successful project execution while managing scope, risks, dependencies, and client expectations. Collaborate with project managers and engagement leaders to deliver successful client outcomes. Pre-Sales & Business Development Support sales pursuits, solution workshops, discovery sessions, and executive presentations. Develop solution architectures, implementation roadmaps, effort estimates, and statements of work. Participate in proposal development, technical demonstrations, and client strategy discussions. Contribute to Apps Associates’ data, analytics, and AI offerings and accelerators. Help identify new service opportunities within existing client accounts. Represent Apps Associates as a thought leader through presentations, webinars, blogs, and industry events. Required Qualifications Experience 10+ years of experience delivering enterprise data warehouse, analytics, business intelligence, or data platform solutions. 5+ years serving as a Solution Architect, Enterprise Architect, Principal Consultant, or equivalent leadership role. Proven experience leading enterprise data and analytics modernization initiatives. Demonstrated success in client-facing consulting environments. Experience leading cross-functional teams and complex technology programs. Strong understanding of both business and technical aspects of analytics transformation initiatives. Preferred Technical Expertise The ideal candidate will possess strong experience across multiple modern data and analytics technologies, including several of the following: Cloud Data Platforms & Warehouses Oracle Autonomous Data Warehouse (ADW) Snowflake Microsoft Fabric Databricks Azure Synapse Analytics Cloud-native data lakehouse architectures AWS, Azure, and Google Cloud analytics services Analytics & Business Intelligence Power BI Oracle Analytics Cloud (OAC) Tableau Looker Qlik Enterprise semantic modeling Executive dashboards and KPI frameworks Self-service analytics enablement Data Integration & Engineering Oracle Data Integrator (ODI) Informatica Microsoft Fabric Data Factory Azure Data Factory Modern ELT/ETL frameworks API-based integrations SQL and advanced data engineering practices Data modeling and dimensional design Data governance and data quality frameworks Enterprise Applications & Business Systems Experience integrating and reporting on data from enterprise applications such as: Oracle Fusion Applications SAP JD Edwards Salesforce ServiceNow Workday Other ERP, CRM, HCM, and SCM platforms Functional Domain Expertise Experience supporting analytics initiatives across one or more of the following business domains: Finance & Accounting Supply Chain Management Human Capital Management Customer Analytics / Customer 360 Enterprise Performance Management (EPM) Healthcare Analytics Manufacturing Analytics Utilities Analytics Operational Performance Analytics Leadership Competencies Executive presence and strong communication skills Strategic thinking and business acumen Ability to influence both business and technical decision-makers Strong consulting and stakeholder management capabilities Excellent problem-solving and analytical skills Team leadership and mentoring experience Workshop facilitation and presentation expertise Ability to balance business value, technical quality, and delivery timelines Passion for innovation, continuous learning, and emerging technologies Education Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field required. Master’s degree preferred. Relevant cloud, analytics, or data platform certifications are highly desirable. What Success Looks Like The Senior Principal Consultant is recognized as a trusted advisor and technical leader who successfully guides clients through complex data and analytics transformation initiatives regardless of technology stack. They help organizations modernize legacy architectures, establish enterprise data strategies, enable AI-driven decision-making, and build scalable analytics platforms that drive measurable business outcomes. This individual is viewed as a leader within Apps Associates, contributing to the growth of the Data & Analytics practice through successful client delivery, thought leadership, innovation, mentoring, and the development of next-generation analytics and AI offerings.