About this role.
Dataiku is hiring a Senior Manager to own the architecture, governance, and strategic roadmap for its Anaplan environment supporting sales compensation, headcount planning, and forecasting. The role serves as the senior escalation point for cross-system reconciliation issues involving systems such as Salesforce, NetSuite, Workday, and Greenhouse. It combines hands-on Anaplan model ownership with finance transformation leadership, vendor management, controls design, and executive stakeholder communication. The successful candidate will initially operate as a senior individual contributor while building and mentoring a future team. This is a high-visibility Strategic Finance role requiring deep Anaplan, FP&A, sales compensation, and ASC 606 expertise.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would begin with a current-state assessment of models, data flows, ownership, pain points, and control gaps. I would define a target architecture centered on governed Data Hub patterns, reusable hierarchies, documented integration contracts, and clear separation between transactional data, calculation logic, and reporting. The roadmap would prioritize high-risk reconciliation and payroll-impacting processes first, then sequence modernization initiatives by business value, dependencies, and maintainability.
I would first quantify the variance and isolate its scope by period, entity, employee, plan component, and source-system record. Next, I would trace the lineage through source extracts, integration transformations, mapping tables, model calculations, and downstream outputs to identify whether the issue is caused by timing, master data, business logic, or integration failure. I would implement a documented correction, validate it with business owners, and add preventive controls or exception reporting so the issue is detected before payroll or close.
I translate policy language into explicit calculation rules, eligibility criteria, effective dates, crediting logic, approval workflows, and accounting outputs. I validate the design with Sales Compensation, RevOps, Accounting, and Sales Finance through scenario testing, including edge cases such as amendments, ramp periods, split credit, accelerators, and reversals. I also ensure versioning and documentation make plan changes auditable and sustainable.
I would evaluate strategic importance, internal expertise, time-to-value, technical complexity, ongoing support needs, and total cost of ownership. I would retain core architecture, governance, model standards, and critical business logic internally, while using specialized partners for bounded delivery capacity or expertise not needed permanently. For partner engagements, I would define clear statements of work, acceptance criteria, documentation requirements, knowledge transfer, and quality checkpoints.
I frame the discussion in business terms: control risk, close or payroll impact, operating cost, delivery speed, and the future cost of repeated manual workarounds. I present practical options with trade-offs, including a short-term mitigation and a recommended durable solution, supported by examples or metrics where possible. This approach helps leaders make an informed decision while preserving trust and focusing the team on scalable outcomes.
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack – empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Position Overview
Dataiku is seeking a Senior Manager, Anaplan & Sales Compensation Systems to lead our Anaplan platform strategy within Strategic Finance. This is a net-new, high-visibility role responsible for owning the end-to-end architecture, governance, and roadmap of our Anaplan environment — spanning sales compensation, headcount planning, and forecasting. Beyond platform administration, this person will be a driving force in modernizing how Dataiku’s FP&A function operates — identifying where manual, spreadsheet-driven processes should give way to systematized, scalable workflows, and helping lead that transformation end-to-end. You’ll set the technical and process direction for how Anaplan supports the business, manage relationships with implementation partners and consultants, and be the senior escalation point when data doesn’t tie out. This role blends deep hands-on platform ownership with the strategic vision to modernize how FP&A operates — and the judgment to know when to build, when to bring in outside expertise, and when to say the current approach isn’t sustainable.
Key Responsibilities
– Own the strategic roadmap and architecture for Anaplan across sales compensation, headcount planning, and forecasting modules
– Serve as the senior escalation point for data integrity issues, leading root-cause investigation when Anaplan doesn’t reconcile to source-of-truth systems (Salesforce, NetSuite, Workday, Greenhouse)
– Manage relationships with external Anaplan consultants and implementation partners — scoping statements of work, vetting proposals, and holding vendors accountable to timelines and quality
– Partner directly with Sales Finance, RevOps, Sales Compensation, and Accounting leadership to translate evolving commission plans, ASC 606 accrual methodology, and org changes into scalable model design
– Drive FP&A finance transformation — identify opportunities to modernize planning, forecasting, and reporting processes across the broader FP&A org, championing automation and systematization over manual, offline workarounds
– Lead process and controls improvements to catch data issues before payroll processing and month-end close, replacing manual reconciliation workarounds with systematized checks
– Present recommendations and platform strategy to finance leadership, including trade-offs between build-vs-buy, technical debt, and long-term maintainability
– Act as a strategic thought partner to FP&A leadership on where finance technology and AI-enabled tooling can modernize how the team operates
– Build and mentor a team (starting as an individual contributor with plans to scale) responsible for day-to-day model builds, integrations, and support
– Own platform governance: user access, security, environment management, and documentation standards
– Drive standardization and automation across reporting, reducing reliance on offline spreadsheets and one-off fixes
Qualifications
– 10+ years of progressive experience building and implementing Anaplan solutions, including 3+ years in a leadership or senior IC capacity managing scope and stakeholders directly
– Anaplan Certified Model Builder (Level 2+; Master Anaplanner preferred)
– Deep experience designing, developing, and maintaining Anaplan models for financial planning, budgeting, forecasting, and sales compensation; strong Data Hub integration and design experience
– Demonstrated track record of leading finance transformation initiatives — modernizing legacy processes, introducing new tools/systems, or re-architecting how a finance function operates
– Track record of managing external consultants/implementation partners, including scoping and vetting proposals
– Strong understanding of sales compensation structures, ASC 606 commission accounting, and FP&A forecasting concepts
– Proven ability to diagnose and resolve complex, cross-system data reconciliation issues independently
– Familiarity with system implementation methodologies (requirements gathering, design, build/test, deploy); Agile experience a plus
– Excellent stakeholder management skills — able to influence senior finance and sales leadership and translate technical model logic for non-technical audiences
– Experience with Workato or similar integration/automation platforms is a plus
– Comfortable operating with high ownership in an ambiguous, evolving environment, and confident recommending process or system changes when the current approach isn’t working
#LI-RL1
Compensation and Benefits
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku’s incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
US only national base pay ranges
$152,000—$190,000 USD
What are you waiting for!
At Dataiku, you’ll be part of a journey to shape the ever-evolving world of AI. We’re not just building a product; we’re crafting the future of AI. If you’re ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can’t wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
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