Senior Manager, Data Program Management

West Monroe•Los Angeles, NY

36d•Hybrid

About The Position

West Monroe is seeking a Senior Manager, Data Program Management to lead large-scale enterprise data transformation programs that enable organizations to modernize their data platforms, accelerate cloud adoption, and unlock business value from their data assets. This role involves leading client delivery for data transformation and modernization programs from strategy through implementation and business adoption. The Senior Manager will manage all aspects of complex engagements, including scope, budget, staffing, profitability, timelines, quality, and delivery across multiple workstreams. They will direct enterprise data migration initiatives involving Databricks, Snowflake, and modern cloud data platforms, coordinating cross-functional teams. Establishing program governance, executive steering committees, integrated delivery plans, RAID management, dependency tracking, and executive reporting are key responsibilities. The role also involves partnering with executive stakeholders to define transformation roadmaps, success metrics, operating models, and organizational change strategies. A significant aspect of the role is leading AI-enabled delivery approaches to improve program governance, project execution, decision-making, and delivery quality, and championing the use of AI-powered project management tools. The Senior Manager will also partner with client stakeholders to identify opportunities for AI to improve data quality, migration validation, testing, operational readiness, and business adoption, and collaborate with data engineering and AI teams to incorporate generative AI, machine learning, and automation capabilities into programs. Establishing governance processes for responsible AI-enabled delivery is crucial. The role requires leveraging AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations, while exercising sound judgment in evaluating outputs and applying AI technologies to enhance insights, improve delivery efficiency, and elevate client outcomes. Additionally, the Senior Manager will contribute to business development by developing trusted relationships with executive stakeholders, identifying and leading pursuits, collaborating with strategic partners, and advising executives on AI-enabled data transformation strategies. Practice development includes enhancing West Monroe's Data Program Management methodologies, developing reusable delivery methodologies incorporating AI, mentoring project managers, and contributing thought leadership. Staying current on emerging technologies, AI capabilities, cloud data platforms, and modern delivery methodologies is expected.

Requirements

10+ years of consulting, technology, or business transformation experience leading complex enterprise programs.
Demonstrated success leading large-scale data migration and modernization programs with multiple workstreams, executive stakeholders, and cross-functional delivery teams.
Strong expertise in program and project management, including governance, financial management, executive reporting, dependency management, RAID management, organizational change management, and delivery excellence.
Experience delivering enterprise data platform implementations or migrations involving Databricks, Snowflake, Azure, AWS, Google Cloud, or similar cloud data ecosystems.
Understanding of modern data architectures, including data lakes, lakehouse platforms, cloud data warehouses, ETL/ELT, data governance, analytics, and AI ecosystems.
Experience leading cross-functional teams of data architects, engineers, analysts, business stakeholders, and third-party vendors.
Experience leading AI-enabled transformation programs that integrate modern data platforms, analytics, automation, and generative AI into enterprise business processes.
Familiarity with AI capabilities across modern cloud ecosystems, including Databricks AI, Snowflake Cortex, Azure AI, AWS AI services, Microsoft Copilot, or similar technologies.
Experience applying AI to improve project delivery, including planning, forecasting, risk management, documentation, testing, reporting, and stakeholder communications.
Ability to evaluate AI-generated outputs, establish governance for responsible AI adoption, and balance automation with sound business judgment.
Proven ability to influence executive stakeholders, build trusted client relationships, and communicate effectively with C-suite leaders.
Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.
Ability to travel 30 to 50%
Hybrid role: 2x per week in office
Must be able to work in the US without sponsorship now or in the future

Nice To Haves

PMP, PgMP, SAFe, Agile, or related program management certifications are preferred.

Responsibilities

Lead large-scale enterprise data transformation and modernization programs from strategy through implementation and business adoption.
Manage all aspects of complex engagements, including scope, budget, staffing, profitability, timelines, quality, and delivery across multiple workstreams.
Direct enterprise data migration initiatives involving Databricks, Snowflake, and modern cloud data platforms while coordinating cross-functional teams across data engineering, architecture, analytics, infrastructure, security, and business functions.
Establish program governance, executive steering committees, integrated delivery plans, RAID management, dependency tracking, and executive reporting to ensure successful delivery.
Partner with executive stakeholders to define transformation roadmaps, success metrics, operating models, and organizational change strategies that drive measurable business outcomes.
Lead AI-enabled delivery approaches that improve program governance, project execution, decision-making, and delivery quality across complex transformation initiatives.
Champion the use of AI-powered project management and delivery tools to accelerate planning, risk identification, dependency management, status reporting, documentation, and executive communications.
Partner with client stakeholders to identify opportunities where AI can improve data quality, migration validation, testing, operational readiness, and business adoption.
Collaborate with data engineering and AI teams to incorporate generative AI, machine learning, and automation capabilities into enterprise data modernization programs where they create measurable business value.
Establish governance processes that ensure AI-enabled delivery practices are implemented responsibly, with appropriate oversight, security, and quality controls.
Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs.
Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.
Develop trusted relationships with executive stakeholders and serve as a strategic advisor for enterprise data transformation and modernization initiatives.
Identify, shape, and lead pursuits involving cloud data modernization, data migration, analytics, AI, and enterprise transformation.
Collaborate with Databricks, Snowflake, cloud hyperscalers, and strategic alliance partners to develop differentiated client solutions.
Advise executives on AI-enabled data transformation strategies, helping clients understand how modern data platforms, automation, and AI capabilities accelerate business outcomes.
Develop and enhance West Monroe's Data Program Management methodologies, PMO assets, governance frameworks, and delivery accelerators.
Develop reusable delivery methodologies that incorporate AI to improve program management, project controls, knowledge management, and delivery quality.
Mentor and coach project managers, engagement managers, and consultants on enterprise program management best practices and AI-enabled delivery approaches.
Contribute thought leadership on enterprise data transformation, cloud modernization, AI-enabled program management, and delivery excellence.
Stay current on emerging technologies, AI capabilities, cloud data platforms, and modern delivery methodologies.