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 Responsibilitie sStrategic Advisory & Architecture Leadershi pServe 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 Leadersh ipLead architecture and implementation of enterprise data and analytics platform s.Design modern reporting, self-service analytics, and executive dashboard solution s.Define semantic models, dimensional data models, reporting frameworks, and data consumption pattern s.Develop source-to-target integration strategies across ERP, CRM, HCM, SCM, and operational system s.Establish data reconciliation, validation, and governance framework s.Guide clients through legacy reporting and analytics modernization effort s.Support enterprise AI and advanced analytics initiatives through scalable data architecture desig

n. Delivery Leaders hipLead technical workstreams for large-scale data and analytics transformation progra ms.Provide oversight across architecture, design, development, testing, deployment, and production support activiti es.Establish implementation standards, best practices, and reusable delivery accelerato rs.Conduct architecture reviews and solution quality assessmen ts.Mentor consultants, architects, data engineers, and analys ts.Ensure successful project execution while managing scope, risks, dependencies, and client expectatio ns.Collaborate with project managers and engagement leaders to deliver successful client outcom

es. Pre-Sales & Business Develop mentSupport sales pursuits, solution workshops, discovery sessions, and executive presentati ons.Develop solution architectures, implementation roadmaps, effort estimates, and statements of w ork.Participate in proposal development, technical demonstrations, and client strategy discussi ons.Contribute to Apps Associates’ data, analytics, and AI offerings and accelerat ors.Help identify new service opportunities within existing client accou nts.Represent Apps Associates as a thought leader through presentations, webinars, blogs, and industry eve

nts. Required Qualifica tionsExper ience10+ years of experience delivering enterprise data warehouse, analytics, business intelligence, or data platform solut ions.5+ years serving as a Solution Architect, Enterprise Architect, Principal Consultant, or equivalent leadership role.Proven experience leading enterprise data and analytics modernization initiat ives.Demonstrated success in client-facing consulting environm ents.Experience leading cross-functional teams and complex technology prog rams.Strong understanding of both business and technical aspects of analytics transformation initiat

ives. Preferred Technical Exp ertiseThe ideal candidate will possess strong experience across multiple modern data and analytics technologies, including several of the foll owing:Cloud Data Platforms & Ware housesOracle Autonomous Data Warehouse (ADW)Sno wflakeMicrosoft FabricData bricksAzure Synapse Ana lyticsCloud-native data lakehouse archite cturesAWS, Azure, and Google Cloud analytics se rvicesAnalytics & Business Intell igencePo wer BIOracle Analytics Cloud (OAC)T ableau Look erQlikEnterprise semantic mo delingExecutive dashboards and KPI fram eworksSelf-service analytics enab lementData Integration & Engin eeringOracle Data Integrator (ODI)Infor maticaMicrosoft Fabric Data F actoryAzure Data F actoryModern ELT/ETL fram eworksAPI-based integr ationsSQL and advanced data engineering pra cticesData modeling and dimensional designData governance and data quality fram eworksEnterprise Applications & Business S ystemsExperience integrating and reporting on data from enterprise applications su ch as:Oracle Fusion Applic ati onsSAPJD E dwardsSale sforceServ iceNowW orkdayOther ERP, CRM, HCM, and SCM pla

tforms Functional Domain Ex pertiseExperience supporting analytics initiatives across one or more of the following business d omains:Finance & Acc ountingSupply Chain Man agementHuman Capital Man agementCustomer Analytics / Custo mer 360Enterprise Performance Managemen t (EPM)Healthcare An alyticsManufacturing An alyticsUtilities An alyticsOperational Performance An

alytics

Leadership Com petenciesExecutive presence and strong communicati on skillsStrategic thinking and busine ss acumenAbility to influence both business and technical decisi on-makersStrong consulting and stakeholder management cap abilitiesExcellent problem-solving and analytic al skillsTeam leadership and mentoring e xperienceWorkshop facilitation and presentation expertiseAbility to balance business value, technical quality, and delivery timelinesPassion for innovation, continuous learning, and emerging tec

hnologies

EducationBachelor’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.