Job Title

Assistant Vice President – Delivery (Data & Analytics)Role SummaryThe Assistant Vice President – Delivery (Data & Analytics) is a senior leadership role responsible for driving end-to-end delivery excellence across a portfolio of strategic client engagements. This role combines delivery leadership, business growth, and client partnership to ensure high-quality outcomes, customer satisfaction, and sustained revenue expansion.The incumbent will define and execute delivery strategies, oversee large-scale data transformation programs, and act as a trusted advisor to executive stakeholders while ensuring alignment with organizational goals.Key Responsibilities1. Portfolio & Delivery LeadershipProvide strategic leadership and governance across multiple, complex Data & Analytics engagements.Own end-to-end delivery accountability, ensuring projects meet scope, timelines, budget, and quality benchmarks.Establish scalable delivery models, frameworks, and best practices across the portfolio.Drive continuous improvement and operational excellence in delivery execution.2. Client Engagement & Stakeholder ManagementAct as a trusted advisor to C-level stakeholders (CIO, CDO, CTO) across client organizations.Build and maintain strong executive relationships, ensuring alignment with business objectives.Lead executive governance forums, steering committees, and strategic reviews.Drive customer satisfaction, retention, and long-term partnerships.3. Business Growth & Commercial OwnershipOwn portfolio-level P&L, including revenue growth, margin optimization, and cost efficiency.Identify and drive upsell, cross-sell, and new business opportunities within existing accounts.Collaborate with sales and pre-sales teams on solutioning, proposals, and deal shaping.Support contract negotiations, pricing strategies, and commercial governance.4. Account Prioritization & Value RealizationPrioritize accounts and initiatives based on strategic importance, revenue impact, and customer value.Ensure high-impact engagements receive appropriate leadership focus and resource allocation.Drive measurable business outcomes and ROI for clients through data-driven solutions.5. Resource Strategy & Talent LeadershipLead workforce planning, ensuring optimal allocation of skills, budget, and capacity across the portfolio.Build and mentor high-performing, globally distributed teams.Develop leadership pipelines and succession plans.Foster a culture of innovation, accountability, and continuous learning.6. Performance Management & GovernanceDefine and track KPIs across delivery performance, quality, financials, and customer satisfaction.Establish robust governance frameworks, including risk, compliance, and quality controls.Conduct regular portfolio reviews and provide actionable insights to executive leadership.7. Program Oversight & Risk ManagementMonitor overall program health across engagements (schedule, cost, scope, and quality).Identify risks, dependencies, and issues proactively; drive mitigation and escalation strategies.Ensure adherence to enterprise delivery standards and regulatory requirements.8. Reporting & Executive CommunicationProvide clear, concise, and data-driven reporting to internal leadership and clients.Present portfolio performance, risks, and strategic recommendations at executive forums.Ensure transparency and alignment across all stakeholders.Core Leadership CompetenciesStrategic Leadership: Ability to define and execute long-term Data & Analytics vision aligned with business strategy.Executive Influence: Strong presence and ability to engage, influence, and advise C-suite stakeholders.Business & Financial Acumen: Deep understanding of P&L management, revenue growth, and margin optimization.Client-Centric Mindset: Proven ability to deliver customer value and build long-term partnerships.People Leadership: Experience managing large-scale teams and developing senior leadership talent.Transformation Leadership: Ability to lead enterprise-wide data transformation and modernization initiatives.Decision-Making: Strong analytical and problem-solving skills in complex, ambiguous environments.Operational Excellence: Expertise in governance, delivery frameworks, and performance optimization at scale.Mandatory Skills & ExpertiseData Warehousing & ETL ArchitectureEnterprise Data ArchitectureData Management & Master Data Management (MDM)Data Quality frameworks and practicesData Governance frameworks, tools, and best practicesPreferred Technical ExpertiseProgramming & Querying: Python, SQLBig Data Technologies: Spark, PySpark, Scala, Hadoop, KafkaCloud Data Platforms: Snowflake, Databricks, AWS, Azure, or GCPDatabases: NoSQL and distributed systemsBI & Visualization Tools: Power BI, TableauExperience with modern cloud-based data ecosystems and architecturesQualification CriteriaEducation & CertificationsBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.MBA or equivalent business qualification preferred.Relevant certifications (preferred):Cloud platforms (AWS, Azure, GCP)Data platforms (Snowflake, Databricks)Data Governance / MDM (e.g., DAMA, CDMP)Program Management (PMP, SAFe)Experience18–22 years of experience in Data & Analytics, with a strong focus on delivery leadership.Proven track record of managing large, complex portfolios and multi-million-dollar programs.Experience in leading global teams and working with enterprise clients across industries. Success MetricsRevenue growth and portfolio profitabilityCustomer satisfaction (CSAT/NPS)Delivery predictability (on-time, on-budget)Talent retention and leadership developmentExpansion of strategic accounts#Hiring #LeadershipHiring #VPHiring #NowHiring #JoinOurTeam #LeadershipRoles #ExecutiveHiring #DataAnalytics #DataLeadership #DataStrategy #DataEngineering #DataGovernance #BigData #AI #AnalyticsLeadership #DeliveryLeadership #DigitalTransformation #DataTransformation #ProgramManagement #EnterpriseDelivery #BusinessLeadership #ClientSuccess #PAndL #BusinessGrowth #ConsultingCareers #LeadershipCareers #BuildTheFuture #CareersInTech #TechLeadership #GrowWithUs