Associate Partner, Data and Technology Transformation

About the Opportunity IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors. This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs. You will bring together deep industry expertise and IBM’s portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next‑generation analytics, GenAI, and agentic AI to strengthen decision‑making and deliver measurable business and financial outcomes. This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high‑impact transformation at scale. Key Responsibilities Market Leadership & Growth Expand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline. Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals. Lead end‑to‑end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation. Strategic Advisory & Transformation Delivery Advise C‑suite leaders on strategies to their data estate modernisation, advanced analytics, GenAI, and agentic AI to drive business performance. Architect integrated solutions that include: Migration from legacy data platforms to modern cloud‑based architectures Data engineering and Information governance Business intelligence and advanced analytics GenAI‑powered and agentic AI‑driven automation and decisioning Lead complex transformation programmes from discovery through delivery, ensuring measurable outcomes and client satisfaction. Engagement Excellence & Financial Stewardship Oversee multi‑disciplinary delivery teams to ensure high‑quality, consistent execution across all programme phases. Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability. Align right client technologies, industry expertise, and global delivery capabilities to maximise client value. Practice Building & Talent Development Recruit, mentor, and grow top‑tier consultants, architects, and data specialists. Build and scale capabilities in data modernisation, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques. Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team. Thought Leadership & Market Presence Stay ahead of sector and technology trends, including cloud modernisation, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics. Represent IBM at industry conferences, client events, webinars, and executive roundtables. Create original thought leadership—articles, perspectives, point‑of‑views—that positions IBM as a leading advisor in data and AI‑driven transformation. This position can be preformed anywhere in the US. "Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs." Qualifications 12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors. Hands‑on experience modernising data ecosystems, including migrating from legacy on‑premise platforms to modern cloud‑native or hybrid cloud architectures. Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker), Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services), Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI). Experience designing and implementing end‑to‑end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms. Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval‑augmented generation (RAG), and emerging agentic AI frameworks. Proven track record of selling, structuring, and delivering large‑scale data and AI transformation programmes. Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance. Executive‑level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives. Financial management experience, including engagement economics, forecasting, margin optimisation, and portfolio profitability. Demonstrated leadership in building, scaling, and developing high‑performing consulting and technical teams. IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. #J-18808-Ljbffr IBM Computing