Senior Manager, Enterprise Data & Analytics

About Us:

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

Our opportunity:

We are seeking a Senior Manager to lead the delivery of scalable enterprise data, analytics, and AI solutions through team leadership, technical direction, and business partnership. This role will translate business priorities into a data and analytics roadmap, guide the architecture of the enterprise data warehouse (EDW) and data lake ecosystem, and oversee the delivery of trusted data products and reliable ingestion and transformation pipelines. As the primary IT partner for business stakeholders, this individual will align priorities, communicate progress and trade-offs, and drive adoption and measurable business value. The role will provide technical oversight and targeted hands-on guidance across Informatica for data ingestion and integration, Google BigQuery for cloud data warehousing and data lake capabilities, and Tableau for analytics and visualization.

Who you’ll report to:

This role reports to our VP, Business Applications

Location: 

Hybrid role with regular onsite workdays in our San Jose, CA office required.  Other U.S locations may be considered.

You will make an impact by being responsible for:

• People leadership: Lead and develop a team of data engineering, analytics, and architecture professionals. Hire and onboard talent, set clear goals and ownership, delegate effectively, provide regular coaching and feedback, and build team capability through development planning and succession readiness
• Solution architecture: Own the target-state EDW, data lake, and analytics architecture and guide its evolution through design reviews and clear decision-making. Direct and review logical and physical data models, integration patterns, security controls, metadata, lineage, and nonfunctional requirements, ensuring designs meet business priorities and enterprise standards
• Roadmap and resource planning: Own the enterprise data and analytics delivery roadmap and backlog, prioritize initiatives with business stakeholders, and align commitments with team capacity and dependencies. Develop resource and investment recommendations, manage delivery within approved allocations, and review platform consumption, licensing, and operating costs with the relevant owners
• Data ingestion and integration: Lead the team’s design and delivery of batch and near-real-time Informatica pipelines that ingest data from enterprise applications, databases, APIs, files, and third-party platforms. Establish reusable integration patterns, review critical designs, and ensure delivery meets agreed reliability and data-freshness requirements
• BigQuery engineering: Direct the team’s development and optimization of curated data layers, dimensional models, data marts, and lakehouse-style datasets in Google BigQuery. Set and review engineering standards for partitioning and clustering, and make informed trade-offs across performance, scalability, and cost
• Data transformation: Establish reusable transformation standards and oversee the team’s implementation of data standardization, reconciliation, and orchestration across raw, trusted, and consumption layers. Review high-risk changes and ensure transformation logic is tested, documented, and maintainable
• Analytics and visualization: Partner with business leaders to agree KPI definitions, prioritize analytical needs, and direct the delivery of governed Tableau dashboards, reports, and self-service analytics experiences. Align business and technical owners on acceptance criteria and review adoption, usability, and contribution to business decision-making
• Business analysis: Elicit and document requirements, profile source data, perform exploratory analysis, identify trends and anomalies, and translate findings into actionable recommendations
• Data quality and governance: Establish data quality rules, monitoring, exception handling, lineage, reference data, business definitions, stewardship processes, and auditability
• Security and compliance: Apply role-based access, least-privilege principles, sensitive-data protections, retention requirements, and applicable privacy and regulatory controls
• AI solutions: Lead the prioritization, design, and delivery of AI-enabled solutions that securely use governed EDW and data lake assets. Guide technical teams in implementing Role-Based Access Control (RBAC) and Row-Level Access (RLA) so users, applications, and AI services access only authorized data, and oversee solution evaluation, production readiness, and ongoing monitoring
• Business-facing IT leadership: Act as the primary IT partner and trusted advisor for business stakeholders, maintaining frequent interaction to understand needs and present solution options. Establish a regular governance cadence to align priorities, facilitate decisions, manage expectations, and communicate delivery status, risks, and trade-offs to business and IT leaders. Resolve prioritization conflicts and coordinate dependencies and escalations across technical teams
• Operational excellence: Own service health for data pipelines and dashboards, agree service expectations with stakeholders, and ensure the team monitors performance and troubleshoots production issues. Lead incident escalation and root-cause reviews, and prioritize corrective actions that improve reliability through automation, testing, and observability
• Technical leadership: Lead design reviews, create architecture standards and technical documentation, mentor team members, and collaborate with application, cloud, security, and business team

You will be a great fit if you have: 

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field, or equivalent practical experience
• 10+ years of experience across data engineering, business intelligence, data analysis, data warehousing, or solution architecture, with demonstrated experience managing technical teams and delivering cross-functional data and analytics initiatives. Experience must include hiring, coaching, delegation, team development, and accountability for delivery outcomes
• Demonstrated experience owning data and analytics roadmaps, prioritizing competing business demands, planning team capacity, managing cross-team dependencies, and developing resource and investment recommendations. Ability to explain delivery, risk, and cost trade-offs to business and IT leadership
• Hands-on experience with Informatica products and enterprise ETL/ELT design, development, deployment, and support
• Strong experience with Google BigQuery, SQL, cloud data warehousing, data lake concepts, data modeling, and query optimization
• Demonstrated experience developing Tableau dashboards, semantic layers, calculated fields, data sources, row-level security, and performance-optimized visualizations
• Experience building AI-enabled solutions on enterprise data warehouse or data lake platforms, including secure access to governed data for AI models, agents, or applications
• Hands-on experience designing and implementing Role-Based Access Control (RBAC) and Row-Level Access (RLA) security controls across BigQuery, Tableau, and enterprise data products
• Strong knowledge of dimensional modeling, star and snowflake schemas, slowly changing dimensions, master and reference data, and data lifecycle management
• Experience integrating structured and semi-structured data from SaaS applications, relational databases, APIs, and files
• Proficiency in SQL and at least one scripting or programming language such as Python
• Experience with data quality frameworks, metadata management, data lineage, testing, CI/CD, and production support

You excel in these key competencies: 

• Strong communication and influencing skills, with the ability to explain technical concepts to business audiences, convert business requirements into scalable solutions, and present recommendations to senior business and IT leaders. Ability to facilitate decisions, communicate delivery commitments and risks, and build alignment across teams with competing priorities
• Proven ability to serve as the face of IT for business teams, build trusted stakeholder relationships, lead recurring working sessions, and communicate solution strategy, trade-offs, risks, and delivery status clearly

The base salary range for this position is $200,000 – $230,000 a year. The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors. This position is also eligible for a discretionary bonus, equity and a full range of medical and other benefits.

Ready to Revolutionize Work? Join Us.

This is an opportunity to work with a global, passionate team pioneering technology that’s redefining the way people work, everywhere.  Join us and discover the many ways that you can have an impact, achieve your potential, and go be great.

Job Segment OR Key Words: data engineering, business intelligence, data analysis, data warehousing, solution architecture, leadership

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Benefits and perks you’ll appreciate:

• Flexible work schedule / remote roles
• Unlimited Personal Time Off
• 12 holidays off per year
• 4 days volunteer time off per year
• Variety of health care and well-being benefits
• Paid family/parental leave
• We are a designated “Best Place to Work” for 2 years in a row! Learn more here
• Newsweek’s Top 100 Most Loved Workplaces in America 2023 – Learn more here