
Unknown Employer · Sweden
Description The Sr. Manager, Strategy & Governance provides leadership and oversight of vendor relationships and outsourced service delivery across the organiza...
Description The Sr. Manager, Strategy & Governance provides leadership and oversight of vendor relationships and outsourced
service delivery across the organization. This role ensures vendors consistently meet quality, performance, and contractual
expectations while aligning vendor strategies to support operational objectives and enterprise priorities. Here's what you can
expect from the job and what you need to be successful: Job Duties: Leads and develops teams responsible for vendor oversight,
ensuring consistent execution of vendor management practices, accountability, and alignment with organizational goals Establishes
and drives vendor management strategies, including selection, onboarding, performance evaluation, and offboarding processes to
support business needs Oversee negotiation and administration of vendor agreements, including service levels, performance metrics,
and commercial terms, to ensure value, risk mitigation, and compliance Monitors vendor performance against defined standards and
proactively addresses service, quality, and operational issues through effective escalation and resolution practices Partners with
internal stakeholders to understand business requirements and ensure vendor capabilities and services effectively support
operational and strategic objectives Provides direction in resolving complex vendor-related challenges that require analysis
across technical, operational, and contractual dimensions Ensures adherence to organizational policies, regulatory requirements,
and risk management practices related to third-party relationships Drives continuous improvement of vendor management processes,
tools, and governance frameworks to enhance efficiency, transparency, and service delivery outcomes Contributes to planning and
management of budgets related to vendor services, identifying opportunities for cost optimization and improved return on
investment Influences cross-functional practices and decision-making to strengthen vendor performance, service delivery models,
and enterprise-wide consistency Essential Skills: Required Experience: 6+ years of experience in vendor management, supplier
governance, or third-party risk management. Minimum 2 years of experience leading a diverse team including hiring, coaching and
performance management Demonstrated ability to negotiate complex agreements and manage vendor performance against defined service
levels and expectations Strong analytical and problem-solving skills with the ability to address multifaceted issues and recommend
effective solutions Proven leadership capabilities with experience developing teams and driving performance in a complex,
cross-functional environment Ability to build and maintain effective relationships with internal stakeholders and external
partners at varying levels of the organization Strong communication skills with the ability to influence decisions and convey
complex information clearly Knowledge of risk management, compliance, and governance practices related to third-party vendor
relationships Ability to manage competing priorities, balance operational demands, and contribute to broader business planning
efforts Required Education: Bachelor's degree in field relevant to role (or 4 additional years of relevant experience in lieu of a
degree), advanced degree preferred. Location: Hillsboro Corporate Office | Hillsboro OR 97124 OR Marlborough Corporate Office |
Marlborough, MA Target Compensation: $131,000 - $157,000 base pay + Annual Bonus Benefits options include : Traditional medical,
dental, and vision coverage Generous 401K company match Paid Time Off: You’ll accrue up to 15 vacation days in your first year. In
addition, you’ll receive 40 hours of sick time and 3 personal days, which refresh annually 11 paid federal holidays Special
employee pricing on lending products such as mortgage, auto, and personal loans (eligibility for special employee pricing is
subject to standard account requirements and underwriting criteria) What makes First Tech different? Click here to learn more!
First Tech is not currently offering Visa sponsorship or transfer for this position #LI-MG1
RDQ226R497 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: * Design and launch new governance and security capabilities as part of Unity Catalog. * Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse. * Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments. * Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. What we look for: * 5+ years of enterprise B2B Product Management experience * Educational background in computer science or related engineering practice. * Experience working with databases and/or data warehouses, security, and catalogs. * Experience building user-facing products for Data Analysts, Scientists, and/or Engineers. * Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.). * Experience in working closely with enterprise customers and ISV partners in the data market. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $156,600—$215,250 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
RDQ226R497 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: * Design and launch new governance and security capabilities as part of Unity Catalog. * Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse. * Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments. * Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. What we look for: * 5+ years of enterprise B2B Product Management experience * Educational background in computer science or related engineering practice. * Experience working with databases and/or data warehouses, security, and catalogs. * Experience building user-facing products for Data Analysts, Scientists, and/or Engineers. * Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.). * Experience in working closely with enterprise customers and ISV partners in the data market. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 2 Pay Range $148,800—$204,525 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
(GAQ327R301) Databricks is seeking a data-driven compensation professional to lead our Compensation Analytics & Intelligence function. This role will provide centralized compensation analytics and intelligence to drive better, faster, and more consistent decision-making through the effective use of data. This is a key role within the Compensation function at Databricks. This is a builder’s role for someone who lives at the intersection of compensation, data, and strategy. You will transform enterprise-wide compensation data into insights and operational tooling, serve as the function’s go-to lead for AI and data strategy, and act as a trusted thought partner to senior leaders on the company’s most complex pay challenges — all while maintaining the highest standards for data governance, privacy, and security. In a talent market this dynamic, you will be the person who sees where the market is moving before it moves. At Databricks, we don’t believe compensation is just a number; it’s a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member who brings rigor, intelligence, and world-class craft to that mission. THE IMPACT YOU WILL HAVE: SCOPE OF THE ROLE This is a hands-on, high-impact role that will effectively cover the below areas and the anticipated time spent on each: * Company-wide program analytics (35%) — Own enterprise-wide compensation analytics: the market benchmarking process, total comp budget forecasting, and the analytical backbone for major program decisions. * AI & data strategy lead (25%) — Serve as the Compensation function’s lead on AI and data strategy. * Partnership with Finance (20%) — Partner with Finance teams on cash compensation budgets and spend. Collaborate on equity budget and spend modeling in close partnership with the Exec & Equity comp lead. * Competitive intelligence & QBR reporting (10%) — Track market trends and spikes/cool-downs across cash, equity, and total rewards. * Strategy & program design partnership (10%) — Provide thought partnership on major comp program design and company-wide strategic problems WHAT WE LOOK FOR: We’re looking for someone who has the following strengths ANALYTICS * Data fluency — This is the heart of the role. Exceptional analytical skills with a proven ability to transform raw, complex data into insights, tooling, and recommendations. You see the story in the numbers and build the systems that surface it. * Know your tools — Advanced capabilities required in gSheets and Excel. Strong working fluency in SQL and experience with BI / analytics platforms (e.g., Tableau, AI/BI) strongly preferred; Python and hands-on experience applying AI to comp analytics are a meaningful plus. * Lead on AI — Genuine enthusiasm and sound judgment for how AI can responsibly transform compensation work, paired with a sharp instinct for data privacy, governance, and the downstream implications of how sensitive data is handled. Comp expertise * Know your craft — Solid foundation in job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, and pay-for-performance design. * Be rational — Ability to balance deep comp knowledge with business solutioning from a first-principles viewpoint. Operational & partnership excellence * Build innovatively & scale effectively — Create frameworks and solutions that not only solve today’s issues but anticipate future needs. * Operational capability — Connect the dots between systems, players, and programs to seamlessly deliver compensation analytics and tooling. * Savvy collaborator & trusted advisor — Comfortable leading conversations with Finance and senior leadership, navigating at times competing priorities and opinions, and supporting sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $217,800—$299,550 USD Zone 2 Pay Range $196,100—$269,600 USD Zone 3 Pay Range $185,200—$254,650 USD Zone 4 Pay Range $174,200—$239,600 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.